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00:00 Introduction to Memory in LLMs and Agents
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Classroom Contents
Memory Management in Large Language Models and Agents - A Practical Implementation Guide
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- 1 00:00 Introduction to Memory in LLMs and Agents
- 2 00:44 Why Add Memory to LLMs?
- 3 01:52 Types of Memory: Read-Only vs Read-Write
- 4 02:41 Memory Architecture and Design Choices
- 5 04:09 Local Memory and Token Allocation
- 6 05:49 Managing Conversation History
- 7 09:44 Pagination and Database Setup
- 8 11:51 Implementing Memory in Practice
- 9 15:56 Building and Running the Memory Chatbot
- 10 25:42 Advanced Search Algorithms
- 11 26:32 Implementing Pagination
- 12 27:03 Design Choices for Memory Management
- 13 27:45 Example Walkthrough
- 14 28:29 Handling Conversation Turns
- 15 29:10 Token Management and Statistics
- 16 29:56 Memory Retrieval Process
- 17 32:19 Building the Chatbot Application
- 18 32:31 Key Features and Build Notes
- 19 33:50 Future Improvements and Enhancements
- 20 34:11 Client Interface and Local Memory Management
- 21 38:20 Response Handling and System Message Management
- 22 41:24 Chatbot Code Overview
- 23 44:49 Memory Management Functions
- 24 47:54 Final Thoughts and Future Directions
