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Conversational Memory for LLMs Using LangChain and Huggingface - Python

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In order to have chain of conversations with LLMs you have to take additional steps. In this video I'll show how to do that with open source libraries. Langchain and Huggingface. GitHub below ↓
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GitHub Link of the Code
LangChain Huggingface Pipeline
LLM I Used
LangChain Memory Docs
Decoding Methods Blog Post
00:00 Introduction
01:50 Imports and Installations
04:33 Configuration Definition
06:10 Model and Tokenizer Definitions
06:52 Pipeline Definition
08:41 Stateless Chatbot
10:53 Regular Memory
24:19 Conversation Buffer Window Memory
28:31 Conversation Summary Memory
31:34 Outro
Want to support the channel? Hit that like button and subscribe!
GitHub Link of the Code
LangChain Huggingface Pipeline
LLM I Used
LangChain Memory Docs
Decoding Methods Blog Post
00:00 Introduction
01:50 Imports and Installations
04:33 Configuration Definition
06:10 Model and Tokenizer Definitions
06:52 Pipeline Definition
08:41 Stateless Chatbot
10:53 Regular Memory
24:19 Conversation Buffer Window Memory
28:31 Conversation Summary Memory
31:34 Outro
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