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RAG using Open Source LLMs
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In this video, we will implement Retrieval Augmented Generation i.e., RAG pipeline using Open Source Large Language models with the help of Langchain and HuggingFace.
Large Language Models have been the backbone of advancement in the AI domain. With the release of various Open source LLMs, the need for ChatBot-specific use cases has grown in demand. HuggingFace is the primary provider of Open Source LLMs, where the model parameters are available to the public, and anyone can use them for inference. On the other hand, Langchain is a robust, large language model framework that helps integrate AI seamlessly into your application with the help of a language model.
RAG Series:
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Timestamps:
00:00 Introduction
00:37 Issues with Large language models
04:01 Retrieval Augmented generation
07:36 Code Implementation
#art #ai #generativeai #llm #langchain #huggingface #opensource #python #largelanguagemodels
Large Language Models have been the backbone of advancement in the AI domain. With the release of various Open source LLMs, the need for ChatBot-specific use cases has grown in demand. HuggingFace is the primary provider of Open Source LLMs, where the model parameters are available to the public, and anyone can use them for inference. On the other hand, Langchain is a robust, large language model framework that helps integrate AI seamlessly into your application with the help of a language model.
RAG Series:
Follow Me:
------------------------
------------------------
Timestamps:
00:00 Introduction
00:37 Issues with Large language models
04:01 Retrieval Augmented generation
07:36 Code Implementation
#art #ai #generativeai #llm #langchain #huggingface #opensource #python #largelanguagemodels
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