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Chatbot Memory for Chat-GPT, Davinci + Other LLMs - LangChain

James Briggs via YouTube

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Overview

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This course demonstrates how to implement conversational memory for chatbots and other conversational agents with LangChain. It compares buffer, summary, buffer-window, summary-buffer, and knowledge-graph memory approaches.

Syllabus

Conversational memory for chatbots
Why we need conversational memory for chatbots
Implementation of conversational memory
LangChain's Conversation Chain
Conversation Summary Memory in LangChain
Conversation Buffer Window Memory in LangChain
Conversation Summary Buffer Memory in LangChain
Other LangChain Memory Types
Final thoughts on conversational memory

Taught by

James Briggs

Reviews

4.5 rating, based on 2 Class Central reviews

Start your review of Chatbot Memory for Chat-GPT, Davinci + Other LLMs - LangChain

  • Profile image for Medi Anil
    Medi Anil
    This is a very useful course for beginners who want to understand chatbot memory and LangChain concepts. The explanation is clear and easy to follow. It helped me learn how memory works in chatbots and how LLM applications can be developed effectively.
  • Ram Bajpai
    The content is really amazing, it's help me to understand about buffer memory which is used in conversational chabot.
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