Wednesday, July 22Digital Marketing Journals

nlp

Extend Session Timeout For Dialogflow CX | by Pragnakalp Techlabs | Apr, 2024
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Extend Session Timeout For Dialogflow CX | by Pragnakalp Techlabs | Apr, 2024

What is a Session Timeout?Once your webhook service receives a webhook request, it needs to send a webhook response. The following limitations apply to your response:The response must occur within a timeout (max 30 seconds) that you configure when creating the webhook resources, otherwise, the request will time out.The response must be less than or equal to 64 KiB in size.In this, we increase the session timeout above 30 seconds to avoid the error of webhook timeout.Why are we required to increase Session Timeout?When requesting data from an API or retrieving information from databases or AI models like ChatGPT, Claude, Gemini, or LLaMA, there may be delays exceeding the maximum timeout limit of 30 seconds. To prevent encountering a webhook timeout error, extending the session timeout dura...
Python libraries like TextBlob, symspell, pyspellchecker and Flan-T5 based grammar checker in the context of spell and grammar checking| Chetan Khadke
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Python libraries like TextBlob, symspell, pyspellchecker and Flan-T5 based grammar checker in the context of spell and grammar checking| Chetan Khadke

The article explores the practical application of essential Python libraries like TextBlob, symspell, pyspellchecker and Flan-T5 based grammar checker in the context of spell and grammar checking. It provides a detailed overview of each library’s unique contributions and explains how they can be combined to create a functional system that can detect and correct linguistic errors in text data. Additionally, the article discusses the real-world implications of these tools across diverse fields, including academic writing, content creation, and software development. This valuable resource is intended to assist Python developers, language technologists, and individuals seeking to enhance the quality of their written communication.In this article, we will understand the following:What are the s...
Chatbot on custom knowledge base using LLaMA Index — Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development | by Pragnakalp Techlabs
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Chatbot on custom knowledge base using LLaMA Index — Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development | by Pragnakalp Techlabs

LlamaIndex is an impressive data framework designed to support the development of applications utilizing LLMs (Large Language Models). It offers a wide range of essential tools that simplify tasks such as data ingestion, organization, retrieval, and integration with different application frameworks. The array of capabilities provided by LlamaIndex is extensive and holds immense value for developers seeking to leverage LLMs in their applications.LlamaIndex has tools that help you connect and bring in data from different sources like APIs, PDFs, documents, and SQL databases. It also has ways to organize and structure your data, making it compatible with LLMs (Large Language Models). With LlamaIndex, you can use a smart interface to search and retrieve your data. Just give a prompt to an LLM,...
Appointment Booking Chatbot using OpenAI Function Calling and GoHighLevel Calendar | by Pragnakalp Techlabs
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Appointment Booking Chatbot using OpenAI Function Calling and GoHighLevel Calendar | by Pragnakalp Techlabs

OpenAI has recently launched a range of remarkable enhancements that have left users amazed. Among these additions, the OpenAI function calling feature has emerged as the most prominent addition. With this powerful functionality, developers gain the ability to select and invoke for resolving specific problems. A key aspect of OpenAI’s function calling feature is its seamless integration with external APIs, enabling developers to generate responses by leveraging external services.In our previous blogs, we explored “How To Use OpenAI Function Calling To Create an Appointment Booking Chatbot”. Through this exploration, we created a chatbot that integrates with the Google Calendar API. This integration empowers the chatbot to efficiently handle appointment bookings and harness the full functio...
Is Natural Language Processing a good career? | by Bdour Zeer
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Is Natural Language Processing a good career? | by Bdour Zeer

Photo by Christopher Gower on UnsplashIn recent years and in 2022, many new roles and job descriptions emerged in the tech world, one of them is NLP Researcher, NLP Engineer or NLP Analysts. So you might ask yourself whether this new role is a good career option for you and if you should major in it. In this article I will break down with you:What does NLP mean ?What does an NLP engineer do?How much money does an NLP engineer make in 2022?What degrees do you need & the skills you must have?What are the open free resources for you to self study and learn more about natural language processing?Is it worth investing in NLP as a career and major?First of all let us properly introduce natural language processing and what do we mean by it:NLP is how computers deal with mainly textual data (h...
How to run LLaMA-13B or OpenChat-8192 on a Single GPU — Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development | by Pragnakalp Techlabs | Jul, 2023
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How to run LLaMA-13B or OpenChat-8192 on a Single GPU — Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development | by Pragnakalp Techlabs | Jul, 2023

Recently, numerous open-source large language models (LLMs) have been launched. These powerful models hold great potential for a wide range of applications. However, one major challenge that arises is the limitation of resources when it comes to testing these models. While platforms like Google Colab Pro offer the ability to test up to 7B models, what options do we have when we wish to experiment with even larger models, such as 13B?In this blog post, we will see how can we run Llama 13b and openchat 13b models on a single GPU. Here we are using Google Colab Pro’s GPU which is T4 with 25 GB of system RAM. Let’s check how to run it step by step.Step 1:Install the requirements, you need to install the accelerate and transformers from the source and make sure you have installed the latest ver...
How ChatGPT really works and will it change the field of IT and AI? — a deep dive | by Aleksander Obuchowski
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How ChatGPT really works and will it change the field of IT and AI? — a deep dive | by Aleksander Obuchowski

Unless you have been living under a rock for the last few months, you have probably heard about a new model from OpenAI called ChatGTP. The model has demonstrated extraordinary abilities in generating both code and textual responses that are not only coherent but most often factually correct and in line with the current human knowledge.There are many articles describing the possible use cases of ChatGPT, however, they rarely go into the details about how the model works or discuss its border implications.The goal of this article is to demystify ChatGPT showing how it works and why is it that effective, describing what are language modes, why are they so popular and what is their problem. As everything is explained from scratch but extensively I hope you will find it interesting whether you...
How to Create a Healthcare Chatbot Using NLP | by Devashish Datt Mamgain | Mar, 2023
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How to Create a Healthcare Chatbot Using NLP | by Devashish Datt Mamgain | Mar, 2023

Ever since its conception, chatbots have been leveraged by industries across the globe to serve a wide variety of use cases. From enabling simple conversations to handling helpdesk support to facilitating purchases, chatbots have come a long way.If you were to put it in numbers, research shows that a whopping 1.4 billion people use chatbots today.Without question, the chatbot presence in the healthcare industry has been booming. In fact, if things continue at this pace, the healthcare chatbot industry will reach $967.7 million by 2027.There are several interesting applications for healthcare chatbots. If you’re curious to know more, simply give our article on the top use cases of healthcare chatbots a whirl.It is also important to pause and wonder how chatbots and conversational AI-powered...
Build an Automated, AI-Powered WhatsApp Chatbot with ChatGPT using Flask | by Pragnakalp Techlabs | Jan, 2023
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Build an Automated, AI-Powered WhatsApp Chatbot with ChatGPT using Flask | by Pragnakalp Techlabs | Jan, 2023

We all agree to a point that by now we not only have heard about ChatGPT but also got a hands-on experience with it and we Loved it! For those who haven’t got a chance to get in touch with ChatGPT here is a brief introduction: ChatGPT is a large language model trained by OpenAI, and it was designed to assist users by generating human-like text based on the given prompt. It can help with a wide range of tasks, such as answering questions, providing information, and engaging in conversations on a variety of topics.On top of that ChatGPT has left us dumbstruck by generating incredible answers to almost anything, you throw a question and it will provide you with the correct answer that we were finding hard to write.At Pragnakalp we believe in making things user-friendly, since ChatGPT is somet...
8 reasons why Conversational AI is important for contact center automation in 2022 — Technoscriptz | by Shaip | Dec, 2022
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8 reasons why Conversational AI is important for contact center automation in 2022 — Technoscriptz | by Shaip | Dec, 2022

A contact center is an integral part of a business. Agents are hired to talk to customers, address their queries, and provide a good support experience. However, if these agents are not empowered with the right tools and a conversational AI is not used, the experience can be unsatisfactory.Contact center automation (CCA) with conversational AI is an intrinsic part of every contact center, regardless of size. Why? A CCA with conversational AI makes it easier for agents to do their jobs in the contact center.In this blog, we’ll show you how conversational AI can help your business, whether it’s a contact center or any other business that utilizes a contact center.1. Repetitive Interactions Waste Your Agents’ TimeRepetitive interactions are a scourge of contact centers. These interactions inc...
Extend Session Timeout for Dialogflow Chatbot | by Pragnakalp Techlabs
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Extend Session Timeout for Dialogflow Chatbot | by Pragnakalp Techlabs

In Dialogflow, the session for agents is maintained by Dialogflow itself. Session continuous the conversation flow between the agent and the user.In the conversation with the chatbot, if a user takes longer than 30 minutes to respond to the agent then the session between the user and the Dialogflow agent will expire. In such cases, the user will have to restart the conversation with the agent from the beginning. So to overcome this problem we need to extend the session for Dialogflow.Suppose the user is talking to a chatbot regarding fashion. During the conversion, the bot asks the user about the size he prefers wearing, for which the user is unsure. So the user confirms his size with his wife and responds after 30 minutes but as the session has expired the flow for the bot will not be con...
Chatbots for Improved Higher Education Student Retention | by Susan Fourtané | Jan, 2023
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Chatbots for Improved Higher Education Student Retention | by Susan Fourtané | Jan, 2023

Photo by Element5 Digital on UnsplashHigher education administrators can now look at chatbot technology as a tool they can use when planning strategies and initiatives geared toward student retention.Chatbots are increasingly becoming a part of higher education. From admissions to career services to mental health support. Now, a new study from Georgia State University reveals that when receiving targeted, personalized text messages from an Artificial Intelligence-powered chatbot college students are more likely to complete tasks to stay enrolled.The way a student is integrated not only into the campus community academically but also socially will play a paramount role in how well that student will remain engaged and succeed.Receiving timely, personalized support from an empathetic, friendl...
Understanding ChatGPT and Its architecture in its own words. | Falling in love with ChatGPT’s writings
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Understanding ChatGPT and Its architecture in its own words. | Falling in love with ChatGPT’s writings

Taking the internet by storm overnight. After DALL-E 2, ChatGPT is another model that made enthusiasts fall in love with AI again. So, I’ve written this article after interacting with ChatGPT and making it write some beautiful lines.I’ve come across quite a few posts about ChatGPT on Youtube, Instagram and Medium. I considered it as my sign from the universe to write my first article about it. After reading and playing with it for a while. Here are my understandings about it.Before we start let me tell you this, I have two things for you by the end of this article.A secret. (I couldn’t think of another way to make it more engaging)An article generated by ChatGPT.Let’s start by addressing the elephant in the room.AI in Space generated by Roshan Shaik (Me) with DALL.E AI. Loved the Buddhist ...
Only 24hrs to Go
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Only 24hrs to Go

The Chatbot Conference is starting Tomorrow.If you have tickets, the Zoom Events Lobby is now open! Log in and join the conversation.If you still need tickets, this is the last chance to register and join us.Cheers.StefanOnly 24hrs to Go 😯 was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.
Indonesian Twitter Sentiment Analysis using Pretrained Neural Network Transformer (BERT) | by Muhammad Rizqi Nur | Aug, 2022
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Indonesian Twitter Sentiment Analysis using Pretrained Neural Network Transformer (BERT) | by Muhammad Rizqi Nur | Aug, 2022

Baca dalam Bahasa IndonesiaI was doing sentiment analysis for a data journalism article for a bootcamp’s final project. The tweets are Indonesian tweets about Kominfo’s recent blocking of Steam (and some other overseas platforms). You can read my article here (it’s only in Indonesian though). By the way, I’m using Python on Google Colab.At first, I was using TextBlob as explained here, but the result was bad. I was sure that at least for #BlokirKominfo tweets, it must be mostly negative. Yet, it was mostly neutral, or positive, depending on where you draw the lines (because TextBlob outputs polarity in range of -1.0 to +1.0). Well, TextBlob only supports English, so the tweets were translated into English. Also, TextBlob is rule-based, while state-of-the-art NLP uses neural network. But it...
The Role of AI in the Transformation of the Insurance Industry — DATAVERSITY | by Shaip | Sep, 2022
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The Role of AI in the Transformation of the Insurance Industry — DATAVERSITY | by Shaip | Sep, 2022

The insurance industry has been traditionally conservative with technology advances and hesitant to adopt new technologies. However, times are changing, and artificial intelligence (AI) is gaining much attention from insurance companies, who are starting to realize the important role that AI can play in their operations.AI in the insurance industry is poised to bring another wave of disruption and innovation to this $5.3 trillion global market.GET UNLIMITED ACCESS TO 140+ ONLINE COURSESChoose from a wide range of on-demand Data Management courses and comprehensive training programs with our professional subscription.According to McKinsey & Company, there’ll be 1 trillion connected devices by 2025. This will help collect tons of data to enhance the power of AI in the insurance industry ...
Information Extraction with DONUT | by Khadke Chetan | Medium
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Information Extraction with DONUT | by Khadke Chetan | Medium

We live in world of big data. The plethora of data gets generated from person’s day-to-day activity i.e. banking, social media, insurance, etc. Most of the time this data gets stored in an unstructured way. To perform data analysis on such data is quite a challenging task. We are going to discuss a state-of-the-art technique to solve such challenging problems.Extracting data from unstructured documents is always a challenge. Previously we used to have rule-based approaches to tackle such problems. However, due to the nature of the rule-based mechanism, external knowledge source, and manpower is required. To solve such issues, NLP is always a go-to solution for everyone.Deep learning has revolutionized the NLP field and to add to it hugging face has always delivered state-of-the-art solutio...
Combining Vision and NLP AI to Navigate the Metaverse | by Bot Libre | Aug, 2022
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Combining Vision and NLP AI to Navigate the Metaverse | by Bot Libre | Aug, 2022

The goal for innovative and enterprising businesses is to be able to fully participate in the metaverse in order to have immersive interaction with their clients.. To this end industries like health, banking, event planning, retail, gaming and education are all looking for, and investing into artificial intelligence (AI) solutions so they can interact with customers in the metaverse.As the open-source chatbot and AI platform for the metaverse, we at Bot Libre have created AI solutions that allows our bots to navigate the metaverse. We have developed the OMNI deep learning model for metaverse-ready chatbots by combining vision deep learning models with NLP deep learning models to provide multiple senses, integrated learning , awareness and navigation in the Metaverse.This will allow busines...
Here is How NLP Powers Conversational AI? | Editorialge | by Shaip | Jul, 2022
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Here is How NLP Powers Conversational AI? | Editorialge | by Shaip | Jul, 2022

The ability infused into the machines- making them capable of interacting in the most humane ways possible- has a different kind of high to it. Yet, the question remains, how does conversational AI work in real-time and what kind of technology is powering its very existence.Let’s find out:Simply put, Conversational AI is a segment or sub-domain of Artificial Intelligence — aimed at enabling humans to interact more seamlessly with computing entities.Remember those quirky website chatboxes that return specific answers to even some of the trickiest questions! Well, those are exactly the Conversational AI products we are talking about. Yet, the question remains: how come these chatbots become so perceptive. Surely, it isn’t just about feeding raw training data, like human voice and text, into ...
The Evolution of Conversational AI | by Catherine Breslin
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The Evolution of Conversational AI | by Catherine Breslin

Talking to machines through the yearsPhoto by Miryam León on UnsplashConversation comes naturally to us. It’s remarkable just how fluently we can converse on any number of topics, and adapt our style with ease to speak with any number of people.In contrast, our conversations with machines can be clumsy and stilted. Conversational AI has been a long-standing research topic, and much progress has been made over the last decades. There are some large-scale deployed systems that we’re able to interact with by language, both spoken and written, although I’m sure very few people would call the interactions natural. But whether it’s a task-based conversation like booking a travel ticket, or a social chatbot that makes small talk, we’ve seen continual evolution in the way the technology is built.T...
GOOGLE CLOUD COLLABORATES WITH COHERE TO SET UP NPL MODELS | by Tapaan Chauhan
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GOOGLE CLOUD COLLABORATES WITH COHERE TO SET UP NPL MODELS | by Tapaan Chauhan

Google Cloud has recently announced their multi-year collaboration with Cohere, the startup platform for developers to make Natural Language processing model-building easier, in applications. The whole process requires a lot of infrastructure and hardware resources to run and currently Cohere doesn’t own that many resources of infrastructure. So Google is going to work as an infrastructure resource by helping Cohere with Google cloud’s machine learning hardware and infrastructure.For taking out the best conclusion and trends Cohere draws an enormous amount of unstructured data and texts and this collaboration will support Cohere’s language model development with Google’s infrastructure. Additionally, Google will allow Cohere to get access to the Tensor processing unit. Besides these, Coher...
Create Slack Bot Using Python Tutorial with Examples | by Pragnakalp Techlabs
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Create Slack Bot Using Python Tutorial with Examples | by Pragnakalp Techlabs

Slack is a useful tool for remote teams to interact more quickly and keep documents in one location. Slackbot is helpful for creating automatic messages for many purposes.Here in this tutorial, we will learn how we can create a bot in slack and add it to our channel and get the text response from the bot, and further how we can get an image, video, audio, or file through the bot.Chatbots, AI & VOICE Conference 2022 (chatbotconference.com)In addition to that, we will also learn how to save the file sent by the user in the channel to the bot on the server-side. Here we will also learn how we can get customized responses from the bot such as buttons and polls.Here we learn how we can get different types of responses from the bot such as:TextImageVideoDocumentAudioButtonsPollStep 1: Open s...
Create WhatsApp Bot with Twilio Using Python Tutorial with Examples | by Pragnakalp Techlabs
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Create WhatsApp Bot with Twilio Using Python Tutorial with Examples | by Pragnakalp Techlabs

WhatsApp is unarguably the most popular messaging app which helps people to connect across the globe. It is absolutely fair to say WhatsApp is becoming an integral part of our life. The Platform has more than two billion monthly active users. With this much potential user base, any business cannot afford to ignore WhatsApp. We all are experiencing how beautifully businesses are leveraging platforms to engage with their customers.Furthermore, many businesses are using a WhatsApp Chatbot to automate various business operations to provide a better experience to users. There are many platforms such as Twilio which allow businesses to integrate the chatbot on WhatsApp.In this tutorial, we will learn how to connect our WhatsApp account with Twilio sandbox and further how we can send different re...
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Build a Chatbot about your favorite series in 30 minutes

Expand your NLP portfolio using BERT and Haystack to answer all your questions!If you’re trying to learn Natural Language Processing (NLP), make a Discord Bot, or are just interested to play around with Transformers for a bit, this is the project for you!In this example, we will create a Chatbot that knows everything about Dragon Ball, but you can do about anything you want! It can be a chatbot that answers questions about another series, a university course, the laws of a country, etc. Firstly, let’s see how that is possible with BERT.How a BERT works as a ChatbotBERT is a Machine Learning technique for NLP created and published by Google in 2018. In the first phase, the model is pre-trained on a large language dataset in a semi-supervised way.In this phase, the model cannot answer questi...
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What are the Natural Language Processing Challenges, and How to Fix?

They say ‘Action speaks louder than Words’. Yet, in some cases, words (precisely deciphered) can determine the entire course of action relevant to highly intelligent machines and models. This approach to making the words more meaningful to the machines is NLP or Natural Language Processing.For the unversed, NLP is a subfield of Artificial Intelligence capable of breaking down human language and feeding the tenets of the same to the intelligent models. NLP, paired with NLU (Natural Language Understanding) and NLG (Natural Language Generation), aims at developing highly intelligent and proactive search engines, grammar checkers, translates, voice assistants, and more.Simply put, NLP breaks down the language complexities, presents the same to machines as data sets to take reference from, and ...
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The difference between scripted chatbots and AI driven chatbots

Nowadays, chatbots are everywhere. They are our digital assistants who are ready to help. Businesses love to use chatbots for customer support. They’re never sick and always on the job, 24/7.It’s a very efficient way for a business to help customers, but only when done correctly. You’ve probably experienced annoying chatbots yourself when you’re looking for customer support. The ones that keep repeating and are not answering your question. Why is this? And why are some chatbots really capable of having a human-like conversation while others are just annoying? More importantly, as a small business owner, how to make sure you select the right type of chatbot that fits your business and the needs of your customers?Scripted vs non-scripted chatbots, what is the difference?Generally, you can ma...
Hands-on IBM Watson Chatbot: Basic | by Sohini Pattanayak 🥑 | Jan, 2022
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Hands-on IBM Watson Chatbot: Basic | by Sohini Pattanayak 🥑 | Jan, 2022

I spent some good time a few months back, reading about IBM Watson Assistants. And I thought, how about I build one. It’s smooth. So I built it using their console and not actually coding it. I manually added the requests and responses and built them. In the next blog, I’ll code one!I built a bakery-shop bot that takes an order for a Cake of the user’s choice and displays the bill for that particular cake. Well, it doesn’t have too many functionalities, as it’s for starters!First, we log in to IBM Cloud. Link: https://cloud.ibm.com/Our dashboard would look like this:We click on “Create Resource” and on the Search bar, right under Catalogue, we search for: IBM Watson Chatbot.We create a new resource.Now, we are prompted to give the assistant a name, description, and assistant language. This...
QnA Chatbot using sentence simi. Introduction | by AI Brewery
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QnA Chatbot using sentence simi. Introduction | by AI Brewery

When the user enters the query:1. Calculate the sentence vector of the query2. Identify the most matching sentence from the knowledge base using cosine similaritydef calculate_similarity(query):mean_pooled = get_embedding([query]) question = []similarity = []intent = [] for rec in collection.find():question.append(rec[‘Text’])intent.append(rec[‘Intent’])cos_sim = cosine_similarity([mean_pooled[0]],[np.fromiter(rec[‘Embedding’], dtype=np.float32)]) similarity.append(cos_sim) index = np.argmax(similarity)recognized_intent = intent[index]return recognized_intentIntents JSON fileHere we set up an intents JSON file that defines the intentions of the chatbot user.For example:A user may wish to know the name of our chatbot; therefore, we have created an intent called name.A user may wish to kn...
Conversational Chatbot using Transformers and Streamlit | by AI Brewery | Nov, 2021
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Conversational Chatbot using Transformers and Streamlit | by AI Brewery | Nov, 2021

Transformers: This library brings together over 40 state-of-the-art pre-trained NLP models (BERT, GPT-2, Roberta, etc..)Torch: Python-based scientific computing packageStreamlit: To create a custom web app.# Install Transformers!pip install transformers!pip install torch!pip install streamlitImporting the libraries that are required to perform operations on the dataset.import streamlit as stimport torchimport transformersfrom transformers import AutoModelForCausalLM, AutoTokenizerStreamlit cache, caches the tokenizer and the model. This avoids reloading of the tokenizer and the model and thus improving the performance.@st.cache(hash_funcs={transformers.models.gpt2.tokenization_gpt2_fast.GPT2TokenizerFast: hash}, suppress_st_warning=True)def load_data(): tokenizer = AutoTokenizer.from_pr...
The Dominance of AI Chatbots Over Rule-Based Chatbots | by Saltlux | Dec, 2021
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The Dominance of AI Chatbots Over Rule-Based Chatbots | by Saltlux | Dec, 2021

How is AI taking over rule-based chatbots? Is AI the future of chatbots? We will answer these questions in this article.The chatbot industry is growing really fast year by year as many companies try to use chatbots to reduce customer service costs.With rapid advancements in Artificial Intelligence (AI) and Natural Language Processing (NLP), more and more chatbots are made and released each day, and they serve a different purpose.The future of rule-based chatbots is worrisome because they are not dynamic enough to be able to tackle nuances in conversation, and their future is likely to be determined by the business value that they can provide.Majority of the rule-based chatbots are now the legacy systems from the earlier times of technology that haven’t been able to keep up with the pace of...
Challenges faced with Rasa Chatbot Scaling | by SHIVAM DWIVEDI | Nov, 2021
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Challenges faced with Rasa Chatbot Scaling | by SHIVAM DWIVEDI | Nov, 2021

When you think to build quick chatbot with an open source framework system the first framework might pops will be Rasa. No doubt its a great framework, provide you to develop chatbot application with very easily with nice organization of documentation. After all the setup and training, the application seems to perform well. But when you go for the load testing of the application things starts to look messy : Response time increases, concurrency drops etc.So based upon this, here in this blog I will be writing few things which I observed should be taken care off while setting up the configuration of Rasa.1.Is there a way to solve concurrency issue?Ans : One solution I came up with is by increasing the Sanic workers. Rasa 2.x use Sanic web server. As per my exposure I haven't found any comma...
Chatbots: From Alan Turing to our decade. | by Anastasia Rempoulaki | Oct, 2021
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Chatbots: From Alan Turing to our decade. | by Anastasia Rempoulaki | Oct, 2021

Photo by Austin Distel on UnsplashChatbots are “online human-computer dialog system[s] with natural language”. In simple words, chatbots is a virtual person who can effectively talk to any human being using interactive textual skills.The main idea of chatbots started from Alan Turing, who asked “Can machine think?” in 1950. Let’s remember an example of Turing in one section of “Computing Machinery and Intelligence”. In this example Turing simulated what the test might look like when human asking questions and an imagined intelligent computer responding.Q: Please write me a sonnet on the subject of the Forth Bridge.A: Count me out on this one. I never could write poetry.Q: Add 34957 to 70764.A: (Pause about 30 seconds and then give as answer) 105621.Q: Do you play chess?A: Yes.Q: I have K a...
Mercury — a chatbot for Ordering Food using ALBERT & CRF | by Ritvik Sharma | Sep, 2021
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Mercury — a chatbot for Ordering Food using ALBERT & CRF | by Ritvik Sharma | Sep, 2021

We come up with some desired labels for our model.Intent Label : <OrderFood>Slot Labels : <restaurant_name> , <food_name>, <food_type>, <qty>, <O> (<O> means that specific word does not carry much value in the sentence and can be masked or ignored).We create hundreds of sample sentences with labels associated to each word.ALBERT + Conditional Random Field (Joint-ALBERT):We have already learnt that CRFs excel in modelling sequential data. So how does it help Mercury?CRFs essentially help in mapping each word to it’s appropriate label.For example:It can map the number “1” to <qty> denoting quantity.It can map the word “Domino’s” to <restaurant_name>.Great! So if CRFs can do this, why do we even need ALBERT?In our original sentence :“I wou...
NLP based Chatbot in PyTorch. Bonus Flask and JavaScript deployment | by Victoria Maslova | Oct, 2021
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NLP based Chatbot in PyTorch. Bonus Flask and JavaScript deployment | by Victoria Maslova | Oct, 2021

Among the various ways you can improve customer satisfaction, chatbots are a powerful solution to help the customer base. Chatbots are affordable, help scale your business, fully customizable, help your customers find the right products/services, and help build trust for your business. To prove this I’ll go through following content:What is a machine learning chatbot?Why chatbots are important in different business spheres?Build you own NLP based chatbot using PyTorch.Deploy chatbot in Javascript and Flask.A chatbot (Conversational AI) is an automated program that simulates human conversation through text messages, voice chats, or both. It learns to do that based on a lot of inputs, and Natural Language Processing (NLP).For the sake of semantics, chatbots and conversational assistants will...
Virtual Healthcare Assistant Army With Workbots | by Botspice | Aug, 2021
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Virtual Healthcare Assistant Army With Workbots | by Botspice | Aug, 2021

According to a recent report in the New Scientist, hundreds of thousands of people say ‘Good morning’ to Alexa every day. AI chatbots are everywhere and people are showing a huge interest in digital assistants. This could imply that chatbots will take over messaging applications someday across many business sectors. Healthcare is one such segment where we have seen limitless possibilities of growth. Healthcare assistants offer more than just information. They gather information through conversations and also analyse patients’ symptoms. This is possible because of Artificial Intelligence technologies and Natural Language Processing that help chatbots to converse in a more human-like manner.According to the global tech market advisory firm ABI Research, AI spending in the healthcare and phar...
Making a Rick & Morty Chatbot for Chai | by Reiss Edler | Aug, 2021
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Making a Rick & Morty Chatbot for Chai | by Reiss Edler | Aug, 2021

Rick Bot in actionWe’re going to be making a chatbot, based on Microsoft’s DialoGPT. I’ve seen lots of other guides on training chatbots, but I haven’t come across one which actually deploys the bot. This tutorial will cover deploying our new bot to Chai, a platform for creating and interacting with conversational AI’s. It will allow us to chat with the bot through a mobile app, from anywhere, at any time. We will also be able to see performance stats and watch our bot climb the Chai bot leaderboard.By the end of this tutorial you will have your very own chatbot, like the one pictured above 😎If you would rather start off small, head over to the chai docs for a much simpler and shorter tutorial on creating your first bot!I made a Google Colab notebook which allows you to run all of ...
How to Build a Chatbot for Your Line App Without Any Coding? | by Devashish Datt Mamgain | Aug, 2021
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How to Build a Chatbot for Your Line App Without Any Coding? | by Devashish Datt Mamgain | Aug, 2021

LINE is a freeware app for instant communications on electronic devices such as smartphones, tablet computers, and personal computers. It supports messaging, free voice, and video calls.The biggest benefit of using LINE is it provides free access to free messaging and calling.LINE has more than 200 million monthly active users and it has its own mobile payment system. Users can add credit cards and use their phones to pay for things.In order to set up the LINE integration for your bot, you’ll need the following:LINE account (Official Account Manager & Developer account)LINE app installed on the mobile deviceKompose codeless chatbot builder, you can signup here for 30 days free trial.First, you need to build a chatbot using Kompose and then add it to your Line app.Kommunicate provides a...
Natural Language Processing (NLP) | Chatbots Life
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Natural Language Processing (NLP) | Chatbots Life

What is Natural Language Processing?NLP is a method or a way in which computer interprets the Human language are perform the task. Alexa, Siri, etc. are some of its example.Let’s start with the Spam Classifier:The spam classifier predicts whether received message is a ham or a spam.Let’s start with the dataset: The dataset consists of 5572 messages and their labels which is either “ham” or “spam”.import pandas as pdmessages = pd.read_csv(“SMSSpamClassifier”,sep=”t”,names=[‘label’,’message’])Now the labels needs to be converted in 0 and 1 labels which can be done using get_dummies() method of pandas library.y = pd.getdummies(messages[‘labels’])y = y.iloc[:1].valuesHere, y wil contain 0 for “ham” labels and 1 for “spam” labels.Now let’s look at independent data i.e. for x. For that 1st we ha...
Which Data Annotation Companies are Best to Provide NLP and Transcription Services ? | by Roger Brown
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Which Data Annotation Companies are Best to Provide NLP and Transcription Services ? | by Roger Brown

Data annotation companies are basically involved in annotating the different types of data available in the various formats like text, images and videos etc. And the data annotation process is done to create the training datasets for machine learning and AI model developments.Labeling the data with added metadata or notes becomes useful for machine learning algorithms. Similarly, images are annotated to make various types of objects recognizable to machines through computer vision technology.And there are many data annotation companies offering this service for AI companies as per their training data requirements and affordability. Cogito is one of the data annotation companies offers the image annotation services for different types of machine learning and AI models.The language or voice ...
‘Workbots’ to boost manufacturing process efficiency | by Botspice | Jul, 2021
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‘Workbots’ to boost manufacturing process efficiency | by Botspice | Jul, 2021

Chatbots are digitizing various business processes across industries. To stay ahead in the market competition, it is crucial to adapt technology to speed up business processes. The manufacturing industry is one such industry that can tremendously benefit from AI-enabled digital applications. Workbots can help address and resolve the common challenges faced by the manufacturing industry such as forecasting demand, inventory management, managing labor, improving efficiency, and monitoring daily activities, creating solutions with conversational AI-powered Workbots will ensure workers are free from mundane tasks and focus more on high-volume tasks.29% of AI implementations in manufacturing are for maintaining machinery and production assets.Workbots by Botspice, are powered by Artificial Inte...
CX Transformation with AI Chatbots is not a “One-Size-Fit All” Approach | by Haptik | Jul, 2021
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CX Transformation with AI Chatbots is not a “One-Size-Fit All” Approach | by Haptik | Jul, 2021

Businesses now realize the need for a customer-centric approach to transforming their customer experience (CX). According to the Zendesk Customer Experience Trends Report 2021, 75 percent of company leaders agreed that the global pandemic accelerated the acquisition of new technologies to get customer-centricity right.But, there are challenges too.Some of the businesses don’t have the systems and technology to segment and profile customers.Some lack the processes and operational capabilities.Some of them don’t have all of the components in place to claim they are customer-centric.Few don’t know what their customers expect and how they want to interact with the business — not the products, features, or revenue model.However, in the digital-first world, social messaging is the dominating com...
Every Thing You Need to Know About Chatbots | by Nivitus | Jul, 2021
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Every Thing You Need to Know About Chatbots | by Nivitus | Jul, 2021

ChatbotsWelcome to the Every Thing You Need to Know About Chatbot Blog. This is my first Natural Language Processing Blog on Medium Site. I hope all of you like this blog; ok I don’t wanna waste your time. Let’s get ready to jump into this Journey.I’m damn sure you’ve at least heard about Chatbot, also you’ve familiar with the term Google Assistant and Alexa, Am I, right guys. These are very famous chatbots in the entire world, we are using these Chabot’s applications in our day-to-day life.You know one thing Chatbots are used by 1.4 billion people today. Companies are launching their best AI chatbots to carry on 1:1 conversations with customers and employees. AI-powered chatbots can also automate various tasks, including sales and marketing, customer service, and administrative and operat...
A Comprehensive Survey of Existing Chatbot Architectures and Techniques(Part-2) | by Tejwinder Singh
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A Comprehensive Survey of Existing Chatbot Architectures and Techniques(Part-2) | by Tejwinder Singh

To design a chatbot, there exist several techniques and algorithms that are useful to a programmer. Some of these are based on natural language processing techniques and were quite common in the earlier versions of the dialog systems, while others make use of deep neural network techniques. Bradesko and Mladenic [1] and Abdul-Kader and Woods [2] investigated some of the design techniques and algorithms used in Loebner Prize Competition conversational chatbots, some of which are mentioned below:1.Pattern Matching: One of the most widely used techniques for designing chatbots that match the input message with the patterns present in the knowledge database using sentence measurement techniques like bigram methods [3].2. Parsing: This technique takes the user’s message as input and looks for o...
A.I. with Attitude: Building a chatbot with personality | by GameOn Technology | Jul, 2021
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A.I. with Attitude: Building a chatbot with personality | by GameOn Technology | Jul, 2021

By Jeff Betts, Head of ProductConversational AI experiences have made great strides in recent years to support a growing number of use cases with an often unnoticed efficacy. From ordering a pizza to more serious matters like securing COVID-19 vaccine appointments and locating where people can register to vote, chat experiences have helped connect users to an incredible amount of resources. Despite this growth, one thing many conversational AI experiences have lacked is a unique voice.Not a literal voice, but rather a personality and tone that communicates to us as an extension of a brand always available to help solve a problem or accomplish a goal. There are many reasons a brand might opt to include a personalized voice in a chat experience like leveraging a consumer connection with a te...
Conversing with chatbots: DialoGPT | by Akíntúndé Ọládípọ̀ | Jul, 2021
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Conversing with chatbots: DialoGPT | by Akíntúndé Ọládípọ̀ | Jul, 2021

Source: What is a Chatbot and is it Better than a Human? | Tulie Finley-MoiseIn a previous module, we examined language models and explored n-gram and neural approaches. We found that the n-gram approach is generally better for higher values of N but this may be constrained by available compute resources. There was also the concern about the lack of representation for n-grams not present in the training corpus. On the other hand, applying subword tokenization methods such as Byte Pair Encoding and Wordpiece, recent neural approaches are able to resolve the issues with n-gram language models and show impressive results.We also traced the development of neural language models from feedforward networks that rely on word embeddings and fixed input length to recurrent neural networks which allo...
A Comprehensive Survey of Existing Chatbot Architectures and Techniques(Part-1) | by Tejwinder Singh
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A Comprehensive Survey of Existing Chatbot Architectures and Techniques(Part-1) | by Tejwinder Singh

In this series of blogs, I will try to investigate various types of dialogue systems or more commonly knows as chatbots that exist and what are some of the design techniques and algorithms used to develop these systems. Since their inception in the 1960s dialogue systems have gained increasing attention due to their ability to streamline conversations between humans and machines. User experience and involvement have become an important factor for the growth of businesses across the globe and dialogue systems are a perfect way to engage a user to enhance their overall experience. Taking this into account this blog will cover the various chatbot architectures ranging from rule-based to generation-based. I will further investigate the social responsiveness of these dialogue systems and how we...
Learn How Customers Think and Evolve with Data Dashboard | by Botspice | Jul, 2021
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Learn How Customers Think and Evolve with Data Dashboard | by Botspice | Jul, 2021

Chatbots have been the talk of the town and this technology is becoming a part of us whether we realize it or not. In e-commerce, the chatbot is the latest trend. Chatbot promises 24x7 availability, auto-learning capabilities that have intrigued e-commerce giants to hop on the chatbot bandwagon. Everyone is talking about implementing a chatbot and the ease it provides in communicating with the customers.Here are some jaw-dropping chatbot statistics that you need to know in 2021 according to the author of Website builder,A chatbot can cut customer service costs by more than 30%.Chatbots are expected to help reduce business costs by up to $8 billion by the year 2022.There was a 67% increase in the adoption of chatbots by organizations between 2018 and 2020.69% of the public prefers to use a ...
Why Do You Need NLP and Machine Learning for Your Chatbot? | by Ashok Sharma | Jul, 2021
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Why Do You Need NLP and Machine Learning for Your Chatbot? | by Ashok Sharma | Jul, 2021

SourceWhen you visit any website, you may have noticed that a pop-up usually appears at the bottom right of the screen. It greets you and welcomes you, and offers assistance while you surf the site. This popup is a Chatbot, also known as a Conversational Marketing Chatbot.These Chatbots are one of the best marketing strategies adopted for enhancing the user experience and business growth. Today’s Chatbots are powered by cutting-edge technologies like NLP (Natural Language Processing) and ML (Machine Learning) that enable businesses to leverage automation to conduct smooth interactions with customers in a more human way.Many brands often use regular Chatbots. These bots are built based on decision trees, but fail to impress the consumer, resulting in poor customer experiences. In addition, ...
Voice Personalization. For a given text in any language or… | by Sangramsing Kayte | Jul, 2021
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Voice Personalization. For a given text in any language or… | by Sangramsing Kayte | Jul, 2021

The language characteristics derived from a certain text are mapped on acoustic features via a GANs-based TTS system.The features of the linguistic input include binary answers to linguistic context questions and numerical values, such as the number of words in the current sentence, the position of the current syllable in the word, and the length of the current phoneme.The acoustic features consist of melted cepstral coefficients and exciting parameters and of the basic frequency. The neural network parameters can be trained by using the input and output pairs derived from a training data set. Finally, a WORLD vocoder is used to synthesize speech from the acousticfeatures. The proposed model consists of two components as follow:Emotional Analysis Module:-The goal of this module is the diff...
What is Chatbot Training Data & Why You Need High-quality Datasets? | by Cogito Tech LLC
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What is Chatbot Training Data & Why You Need High-quality Datasets? | by Cogito Tech LLC

Chatbots are AI-based virtual assistant applications developed to answer the questions of the customers on a specific topics or field. These applications are used by the companies to assist their large group of customers without any human.And to train such chatbots, huge quantity of training datasets are required for the machine learning chatbot algorithms, so that model can learn from the data sets and answer the questions when used in real-life.Chatbot is used to communicate with humans, mainly in texts or audio formats. In this AI-based application, it can assist large number of people to answer their queries from the relevant topics. And to train the chatbot, language, speech and voice related different types of data sets are required.Actually, these data are then used with natural lan...
Build an Application Digital History using Natural Language Processing | by Sangramsing Kayte | Jun, 2021
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Build an Application Digital History using Natural Language Processing | by Sangramsing Kayte | Jun, 2021

With the historical text data, images data or speech data, we can build an application that will help to understand the historical terms more effectively and will also broad line the visuals if needed. Using Natural Language Processing techniques like named entity recognition, part-of-speech tagging we can aim for text summarization with the clear perspective of explaining the historical terms. The report can be generated which could be further utilized for analysis for specific incident or event. During learning history, I felt hard to pronounce the names of kingdom and rulers. Thus, we can apply, listen and speak button for difficult words in the document. This will help the user to understand the terms easily. We can also provide visuals for a specific event or specific dates. There are...
Step by step guide to build healthcare chatbot without any coding. | by Avinash | Jun, 2021
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Step by step guide to build healthcare chatbot without any coding. | by Avinash | Jun, 2021

Chatbots, a smart asynchronous means of communication, powered by AI has seen a high acceptance and penetration during the last few months. A number of industries started to believe they can be a great help for their business and can support when they are focussed on fixing a number of other issues.A number of such chatbots are now deployed for the healthcare industry where medical professionals use them to support the cause of social distancing and help users with relevant answers.Chatbots in healthcare are extremely critical for the advancement of efficient and accurate patient care. They are also expected to support the world’s need of creating affordable and sustainable health care for every individual on the planet.Continuous availability and ongoing supportCovid has been an eye-opene...
Building a Chatbot for Mental Health Awareness and Education | by Kevin Liu | Apr, 2021
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Building a Chatbot for Mental Health Awareness and Education | by Kevin Liu | Apr, 2021

Let’s leverage technology for good.Photo by Andy Kelly on UnsplashAccording to Forbes, around 60% of millennials have used chatbots, and over 70% of them had a positive experience. On top of that, Accenture reported that 57% of their surveyed executives noticed that chatbots had huge Returns on Investment with minimal effort. Lastly, chatbots have huge potential for scale, and personalized experiences.In recent years, chatbots have impacted several industries from retail, banking, finance, healthcare, to energy, investment has skyrocketed.Which got me thinking, to broaden my knowledge within the realm of AI and chatbots, what problems can I solve using the power of tech?Lo and behold, a mental health awareness chatbot.Before we get started with the technical breakdown of the chatbot, I act...
Less than 48hrs to Go!. We only have a few seats available! | by Stefan Kojouharov | May, 2021
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Less than 48hrs to Go!. We only have a few seats available! | by Stefan Kojouharov | May, 2021

We only have a few seats available!We are just hours away from the start of the Chatbot Conference and Certified Workshops.We are almost sold out and only a few tickets remain on Hopin. If you haven’t registered this is the last chance.We hope to see you on Tuesday!We’ve taken our certified workshops to the next level!We partnered up with the best teachers, so our workshops are now taught by Google, CoCoHub, Conversational Design Institute and BotCopy!If you haven’t registered, this is the perfect time to sign up and save your spot.
Revolutionize Healthcare With AI-Driven Chatbots! | by Botspice | May, 2021
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Revolutionize Healthcare With AI-Driven Chatbots! | by Botspice | May, 2021

Today we are on the cusp of a revolution in the healthcare industry. As Covid-19 grips the world and communities become increasingly affected, healthcare communications have been pushed to its limits. With the majority of healthcare workers dedicating their time to Covid- vulnerable patients, there is an acute shortage of medical professionals.According to the estimates of the World Health Organization (WHO), we need over 4 million health professionals in addition to the current workforce worldwide, to be able to offer quality healthcare to the entire population.Today, healthcare consumers are taking a more assertive role in their healthcare journey, expecting immediate high-quality, and accurate information that is smart and cost-effective.AI-driven healthcare chatbots by ‘Botspice’ can p...
Creating a live chatbot for your website (Part 2): Modifying, training and testing your chatbot using Rasa X | by Obianuju Okafor | May, 2021
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Creating a live chatbot for your website (Part 2): Modifying, training and testing your chatbot using Rasa X | by Obianuju Okafor | May, 2021

Screen capture from my websiteHello! Welcome to the second part of a 3-part series involving creating and deploying a chatbot for your business or personal website using Rasa, Docker and Heroku. In the first part, I spoke about setting up the chatbot locally on your system and making changes to it using a text editor. In this second part, I will be talking about how to make changes to your chatbot using the platform Rasa X. I will teach you how to add new data, train your bot and use the newly generated model to talk to your chatbot, all through Rasa X.Rasa X is a Conversation-Driven Development (CDD) tool that helps you improve your chatbot. Rasa X provides a user interface for you to interact with your bot. With Rasa X, you can chat with your local chatbot as an end-user, you can also en...
Chatbot best practices – KPIs, validation and more
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Chatbot best practices – KPIs, validation and more

Anyone can build a chatbot. Most chatbot libraries have reasonable documentation, and the ubiquitous “hello world” bot is simple to develop. As with most things though, building an enterprise grade chatbot is far from trivial. In this post I’m going to share with you 10 tips we’ve learned through our own experience.This is not a post about Google Dialogflow, Rasa or any specific chatbot framework. It’s about the application of technology, the development process and measuring success. As such it’s most suitable for product owners, architects and project managers who are tasked with implementing a chatbot.I’m stating the obvious here, but it’s really important to know what you want to achieve, and how this can be measured. Many of your KPIs will be sector or domain specific, but I will give...
How to create a FAQ Chatbot with Rasa? | by Steadforce | Mar, 2021
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How to create a FAQ Chatbot with Rasa? | by Steadforce | Mar, 2021

In this article we will show how to implement a FAQ chatbot with Rasa to answer FAQs and fill in forms. For working with forms, the Rasa framework with the FormPolicy offers a simple way to create simple yet user-friendly bots for this task without the need to write extensive dialogs.In the article “ Create a chatbot using Rasa” we described how to create a simple chatbot with Rasa. We showed how to install Rasa and initialize a first project. We also illustrated how to have a simple dialog with the bot.To show this use case, we describe a chatbot which allows to reserve a hotel room and answers basic questions about the hotel. An exemplary implementation can be found at https://github.com/Steadforce/rasa_faq_form_bot. This article describes the creation of the chatbot using the implementa...
Concierge Bot: Handle Multiple Chatbots from One Chat Screen | by Jinraj Jain | Mar, 2021
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Concierge Bot: Handle Multiple Chatbots from One Chat Screen | by Jinraj Jain | Mar, 2021

We have a range of platforms and methods for developing chatbots. Each chatbot has its own personality. It all depends on who the users are and how they use it.At a high level, any chatbot would fall under one of the below typesRule-Based Chatbots: They are guided chatbots where the bot guides the user by prompting options for selection until the final response.Smart Chatbots: They understand the context and emotions of user queries and respond accordingly.Hybrid Chatbots: It involves both rule-based and intelligence-based approaches to better understand and meet user needs.Img1 — A standard chatbot structureA standard chatbot would require an NLP, backend code to generate responses, and an optional live support executive if the bot is unable to recognize.An NLP is required to understand t...
4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model | by Florian Treml | Mar, 2021
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4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model | by Florian Treml | Mar, 2021

A quick summary of 7 important DO’s and DON’Ts when training an NLP model for a chatbot. They are best applied before starting a project, but can also help to build a mindset for quality training data in all chatbot project phases.✅DO: think in problem space, not in solution spaceUsers typically think in problem space, not in solution space, and so should you. As a quick example, consider the case of a user who ordered a shirt in an online shop and wants to know when it is expected to arrive. Consider this question:when will my shirt arriveThis is a question from problem space, describing the problem the user wants to be solved, while these are from solution space:what is the estimated shipping timeshow me the order statusThey are describing how your business will react to the probl...
Generative Adversarial Networks using Unit Selection Synthesis Based Virtual Assistant for the Hindi Language | by Sangramsing Kayte
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Generative Adversarial Networks using Unit Selection Synthesis Based Virtual Assistant for the Hindi Language | by Sangramsing Kayte

The virtual assistant is a software-based program which can perform tasks or particular service for an individual. In the coming era, technology is expected to be simple to use and execute by the end-user. The field of artificial intelligence and mobile technology also helps the visually blind people to overcome their disability and to live a healthy balanced life. Now–a day’s speech recognition made it roots for performing and triggering the various activities in human life. And the English and many other foreign languages have made dominant and remarkable work for the same.The study reveals that companies like Google, Microsoft, Amazon shows its roots for English and other countries languages while for Indian languages is still a matter of research. Hindi is the national language of Indi...
Create a Chatbot using Rasa. With more than 2 million downloads… | by Steadforce | Feb, 2021
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Create a Chatbot using Rasa. With more than 2 million downloads… | by Steadforce | Feb, 2021

With more than 2 million downloads, Rasa is an increasingly relevant open-source framework for the creation of conversation assistants. A Rasa conversation assistant can be provided to users as a chatbot via Facebook Messenger or Slack. It is also possible to publish the assistant as Alexa Skill. Rasa offers both the possibility to implement an assistant without any programming knowledge and to adapt the functional range of the framework to the respective needs via implementing extensions in Python. This article gives an overview of how Rasa makes it possible to easily create assistants. For this purpose, we create a chatbot, which can answer simple questions about its creators. The project is available at https://github.com/Steadforce/rasa-basic-tutorial. An exemplary dialogue that we can...
Hands-on for Toxicity Classification and minimization of unintended bias for Comments using classical machine learning models | by Anurag Maji
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Hands-on for Toxicity Classification and minimization of unintended bias for Comments using classical machine learning models | by Anurag Maji

In this blog, I will try to explain a Toxicity polarity problem solution implementation for text i.e. basically a text-based binary classification machine learning problem for which I will try to implement some classical machine learning and deep learning models.For this activity, I am trying to implement a problem from Kaggle competition: “Jigsaw Unintended Bias in Toxicity Classification”.In this problem along with toxicity classification, we have to minimize the unintended bias (which I will explain briefly in the initial section).sourceBackground:This problem was posted by the Conversation AI team (Research Institution) in Kaggle competition.This problem’s main focus is to identify the toxicity in an online conversation where toxicity is defined as anything rude, disrespectful, or othe...
Facebook Shares 100-Language Translation Model, First Without English Reliance | by Tapaan Chauhan | Jan, 2021
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Facebook Shares 100-Language Translation Model, First Without English Reliance | by Tapaan Chauhan | Jan, 2021

M2M-100 can mostly perform so well because of the sheer number and assortment of language interpretations it prepared during advancement.Facebook utilized 2,200 sets of dialects to make the new model, a variety of 7.5 billion sentences incorporating most significant dialects, and a few that are not as broadly spoken.Generally, interpretation models are planned around a model for every language, with English going about as a center ground. In general, that will make the interpretation less exact, as any individual who has utilized an online interpreter to send a sentence into a few dialects and afterward back to its unique can validate. Facebook went for a multilingual machine interpretation (MMT) model, all things being equal, one that measures the dialects and deciphers legitimately.Faceb...
Language Translation with Transformers in PyTorch | by Deep Gan Team | Jan, 2021
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Language Translation with Transformers in PyTorch | by Deep Gan Team | Jan, 2021

Mike Wang, John Inacay, and Wiley Wang (All authors contributed equally)If you’ve been using online translation services, you may have noticed that the translation quality has significantly improved in recent years. Since it was introduced in 2017, the Transformer deep learning model has rapidly replaced the recurrent neural network (RNN) model as the model of choice in natural language processing tasks. However, Transformer models, like OpenAI’s Generative Pre-trained Transformer (GPT) and Google’s Bidirectional Encoder Representations from Transformers (BERT) models, have quickly replaced RNNs as the network architecture of choice for Natural Language Processing (NLP). With the Transformer’s parallelization ability and the utilization of modern computing power, these models are big and f...
The Renaissance of Conversational AI | by Aion Digital | Jan, 2021
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The Renaissance of Conversational AI | by Aion Digital | Jan, 2021

By Sheraz Sharif, Head of Data and Cyber Security at Aion DigitalCustomer support is one of the most essential areas to respond to your consumer needs, address their concerns, build community, relationships, and loyalty around the business brand. Just like everything else, customer support was directly struck by Covid-19 because of its operating model.For most establishments, customer support is still primarily managed through manual means, it requires human interaction which means high cost and inconsistent results. However, customers need for immediate results are growing more with each day. As per estimates, 65% of consumers still utilize call center channels to connect for inquires. Another interesting stat is that nearly 50% of consumers expect a response on questions or complaints wi...
IBM Watson Assistant provides better intent classification than other commercial products according to published study | by Nicolo Cosimo Albanese | Jan, 2021
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IBM Watson Assistant provides better intent classification than other commercial products according to published study | by Nicolo Cosimo Albanese | Jan, 2021

And how the better performances of IBM Watson Assistant tackle the most common pain points in the adoption of a conversational solutionPhoto by Alex Knight on UnsplashToday, virtual assistants (or chatbots) represent a globally recognised booming trend:With regards to chatbots, which are in many ways the most recognisable form of AI, 80% of sales and marketing leaders say they already use these in their CX or plan to do so by 2020¹.25 percent of customer service operations will use virtual customer assistants by 2020².By 2025, customer service organizations that embed AI in their multichannel customer engagement platform will elevate operational efficiency by 25%³.It is clear that chatbots are here to stay.Their limitless potential in terms of business versatility — is there any business t...
Natural Language Processing (NLP) Is Driving Intelligent Email Automation | Enterprise Bot | by Enterprise Bot | Dec, 2020
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Natural Language Processing (NLP) Is Driving Intelligent Email Automation | Enterprise Bot | by Enterprise Bot | Dec, 2020

Email is the most preferred communication channel by consumers today while contacting a service provider. Only 35% of companies manage to send out real-time responses that meet customer expectations, 14% don’t respond to customer emails.- Source: Forrester ResearchCreating great customer experiences has become a top priority for businesses today. Due to the rapid shift in customer behavior, they now prefer going after brands delivering great personalized experiences over products and pricing. No matter how good your product is, if the customer email is sitting in a queue for days waiting for responses, it will backfire, causing higher customer churn.86% of buyers are willing to pay additional charges for receiving better customer service today. Per the Walker report 2020, CX will surpass p...
Why RPA Bots & Chatbots/Live Chat are natural partners in automation | by Symprio | Jan, 2021
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Why RPA Bots & Chatbots/Live Chat are natural partners in automation | by Symprio | Jan, 2021

While RPA robots automates a series of steps which are somewhat predictable in terms of application and data, chatbots automates communication with live chat acting as human-takeover when the chatbot gets questions not trained for.RPA & Chatbots are natural partnersSymprio is a UiPath Gold partner and delivers automation solutions for customers and also provide chatbot solutions leveraging both our own (BotExpress.ai) as well as other platforms. We see more and more where automation flows are being combined where RPA robots executes processes on top of legacy applications and chatbots and live are being used to automate or simplify communication.Modern chatbot platforms like our own (BotExpress.ai) detects intents (essence of what you want) as well as entities (data variables) which pr...
Natural Language Principles. Natural Language Processing (NLP) | by Sangramsing Kayte | Dec, 2020
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Natural Language Principles. Natural Language Processing (NLP) | by Sangramsing Kayte | Dec, 2020

Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.Evolution of natural language processingWhile natural language processing isn’t a new science, the technology is rapidly advancing thanks to an increased interest in human-to-machine communications, plus an availability of big data, powerful computing and enhanced algorithms.As a human, you may speak and write in English, Spanish or Chinese. But a computer’s native language — known as machine code or machine language — is largely incomprehensible to most people. At your d...
The Main Chatbots Trends in 2020. A quick look at the chatbots trends in… | by Murad Zamanov | Dec, 2020
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The Main Chatbots Trends in 2020. A quick look at the chatbots trends in… | by Murad Zamanov | Dec, 2020

Despite how painful this year was for the many industries, it would be interesting to look at how it impacted chatbots, the positive and negative sides, key takeaways, etc.In 2019 there were lots of promises not only to 2020 in general but also for the chatbots industry.Let’s look at some promised trends:The chatbot market size is projected to grow from $2.6 billion in 2019 to $9.4 billion by 2024 at a compound annual growth rate (CAGR) of 29.7%. (BusinessInsider)80% of businesses are expected to have some sort of chatbot automation by 2020. (Outgrow)Chatbots can save up to 30% on customer support costs. (Invespcro)It is no secret that chatbots are the driving force to run business communications across the whole digital globe. Natural language processing (NLP) does its best to analyze the...
Use of NLP in Canvas. Abstract | by Yash Choksi | Dec, 2020
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Use of NLP in Canvas. Abstract | by Yash Choksi | Dec, 2020

In this project we are creating prototype and then working model for Canvas school mmannagement application. As we are students of California State University- Los Angeles we are using canvas as our daily class management application which deals managing assignments, homeworks and even discussions on any specific topics and many more. Now it is really overwelming taks to reach out to each and every demand which is createed by different professors. To tackle that problem we are introcuding one solution for voice assistant in canvas application. When anny student login into his account it clearly shows them what are pennding tasks and many more instructions. Wee are also extending our feeatures to read out discussions, give summary of long discussions and for that we are using topic modellin...