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LLMs for Chatbots and Conversational AI: Building Engaging User Experiences | by Megha Verma | Aug, 2024

24Aug

By Megha VermaNo Comments

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LLMs for Chatbots and Conversational AI: Building Engaging User Experiences | by Megha Verma | Aug, 2024

Large Language Models have emerged as the central component of modern chatbots and conversational AI in the fast-paced world of technology. Just imagine conversing with a machine that is as intelligent as a human.The use cases of LLM for chatbots and LLM for conversational AI can be seen across all industries like FinTech, eCommerce, healthcare, cybersecurity, and the list goes on.LLMs like OpenAI’s GPT-4 are an amazing example of Artificial Intelligence that is trained on vast amounts of textual data to understand and produce natural-sounding human language. Conversational AI chatbots have been completely transformed by the advances made by LLMs in language production. With deep learning coming into the picture, Large Language Models are now able to produce correct and contextually releva...

How to Train LLMs on your Knowledge Base Data | by Stefan Kojouharov | Apr, 2024

11Apr

By Stefan KojouharovNo Comments

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How to Train LLMs on your Knowledge Base Data | by Stefan Kojouharov | Apr, 2024

Experiments in Organizing Information for Optimal RetrievalOriginally Published on my SubstackSo recently, I have been experimenting with knowledge bases, and how information is structured is vital.In some sense, it directly relates to the context and overall meaning. It also makes it easier for LLMs to answer questions accurately and reduces hallucinations.And so we created a few experiments that you can play with and test yourself.But first, why does information structure matter?Imagine a library. One room has books strewn everywhere, titles mixed up, and no discernible order. In another room, the books are organized by subject, then by author, then by publication date. Which room would help you find the book you want more efficiently?LLMs are similar. The way knowledge is presented and ...

New Conversational UX Stack: Integrating NLU, LLMs, & RAG | by Stefan Kojouharov | Mar, 2024

28Mar

By Stefan KojouharovNo Comments

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New Conversational UX Stack: Integrating NLU, LLMs, & RAG | by Stefan Kojouharov | Mar, 2024

Large Language Models are redefining how we build Conversational Agents. Today, LLMs can do most of the heavy lifting in minutes. The days of building hundreds of flows of every useful intent or FAQ question are gone. Instead, LLMs can be trained on a knowledge base and be able to give great answers.The role of a Conversation Designer has changed. Designers now have to start thinking differently. Instead of thinking linearly and having a flow-based approach to design, now we need to think more about knowledge, information, and data and how all of this leads to meaning-making.Through stories, knowledge bases, and prompt engineering, designers will soon be creating experiences we once only dreamed of. The job has changed, and it is now more creative than ever.Conversational AI Project will c...

What is Bias & Why Does It Happen in LLMs? | by Stefan Kojouharov | Oct, 2023

2Oct

By Stefan KojouharovNo Comments

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What is Bias & Why Does It Happen in LLMs? | by Stefan Kojouharov | Oct, 2023

Bias has something profound to teach us about the human condition, which relates to attention.We all have a limited amount of attention and give our attention to the things we value.But how do we know what objects to give our attention to?How does the evaluation happen?It happens a prior. We don’t have enough time to scan the environment and evaluate everything single object.Instead, we simply filter the world for what we value.As a result, we are more familiar with and prefer what we value. These preferences can make us blind to other information and miscalculate its importance and value, which leads to Bias.So, Bias first happens a priori; it happens before we give our attention to an object, person, experience, or event.The second level of Bias occurs as a result of perspective.When we ...

How LLMs are Revolutionizing Bot Creation | by Stefan Kojouharov | Sep, 2023

11Sep

By Stefan KojouharovNo Comments

ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatbots, conversation with ai, conversational-design, creating chatbots, knowledge-base, llm, prompt-engineering, robot chat

How LLMs are Revolutionizing Bot Creation | by Stefan Kojouharov | Sep, 2023

Hey AI Enthusiasts, welcome to my 7 part series on Designing and Developing Chatbots using LLMs.In the series, we will cover Conversational Design, LLMs, Knowledge Bases, Prompt Engineering & Prompt Tuning, Model Fine-Tunning, and even Model Training!Without further ado, let’s start with Conversational UX.Why because, this is where the journey begins. Every project is first designed and the way we design Conversational AI Agents has fundamentally changed.

What are Large Language Models?. A look at LLMs and their popularity | by Catherine Breslin

12Jul

By Catherine BreslinNo Comments

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What are Large Language Models?. A look at LLMs and their popularity | by Catherine Breslin

A look at LLMs and their popularityPhoto by Patrick Tomasso on UnsplashAdvances in natural language processing (NLP) have been in the news lately, with special attention paid to large language models (LLMs) like OpenAI’s GPT-3. There have been some bold claims in the media — could models like this soon replace search engines or even master language?But what exactly are these large language models, and why are they suddenly so popular?What’s a language model?As humans, we’re pretty good at reading a passage and know where the author might be heading. Of course, we can’t predict exactly what the author will write next — there’s far too many options for that — but we notice abrupt changes or out-of-place words, and can make a stab at filling in endings of sentences. We intuitively know that a...