Friday, May 1Digital Marketing Journals

transformers

Information Extraction with DONUT | by Khadke Chetan | Medium
best chatbot, chatbot, chatbot app, chatbot online, chatbot website, creating chatbots, deep-learning, google chat bots, information-extraction, invoice, nlp, robot chat, transformers

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...
Conversational Chatbot using Transformers and Streamlit | by AI Brewery | Nov, 2021
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, creating chatbots, nlp, python, pytorch, robot chat, transformers

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...
Making a Rick & Morty Chatbot for Chai | by Reiss Edler | Aug, 2021
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, creating chatbots, google chat bots, nlp, python, pytorch, robot chat, transformers

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 ...