8 Steps to Build a LangChain RAG Chatbot.

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Retrieval Augmented Generation (RAG) is a methodology that enhances large language models (LLMs) by integrating external knowledge sources into their processes. Langchain implements RAG by adding a retrieval step to the prompt and LLM, forming a "retrieval-augmented generation" chain. This augmentation improves the accuracy of generated output by providing relevant context from external sources. RAG facilitates more informed and contextually accurate responses from LLMs, contributing to better performance in various tasks such as question answering and content generation. Source - @akshay_pachaar

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8 Steps to Build a LangChain RAG Chatbot.

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It is not often even in the ICT world that one witnesses a revolution. The rise of the Personal Computer, the rise of mobile telephony and, of course, the rise of the Internet are some of those revolutions. So what is ChatGPT really? Is ChatGPT also such a revolution? And like any revolution, does ChatGPT have its winners and losers? And who are they? How do we ensure that ChatGPT contributes to a positive impulse for "Smart Humanity?". During a key note om April 3 and 13 2023 Piek Vossen explained the impact of Large Language Models like ChatGPT. Prof. PhD. Piek Th.J.M. Vossen, is Full professor of Computational Lexicology at the Faculty of Humanities, Department of Language, Literature and Communication (LCC) at VU Amsterdam: What is ChatGPT? What technology and thought processes underlie it? What are its consequences? What choices are being made? In the presentation, Piek will elaborate on the basic principles behind Large Language Models and how they are used as a basis for Deep Learning in which they are fine-tuned for specific tasks. He will also discuss a specific variant GPT that underlies ChatGPT. It covers what ChatGPT can and cannot do, what it is good for and what the risks are.

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