Скачать или смотреть LLMs Don’t Have Memory — So How Do They Remember?

This video explains how memory works in GenAI systems and why it is essential for building chatbots and AI agents.

It starts by showing why LLMs are stateless by default, then builds the idea of memory from first principles—covering short-term memory using conversation history and its limitations. The video then introduces long-term memory, explains why it’s needed for personalization and continuity, and breaks down its types (episodic, semantic, and procedural) and how they work at a high level.

By the end, you’ll understand how modern GenAI applications add memory around LLMs to make them useful in real-world systems.

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⌚Chapters⌚

00:00:00 - Introduction: Why Memory Matters in GenAI
00:02:01 - How LLMs Work at Inference (Stateless by Design)
00:09:44 - The Core Problem: LLMs Have No Memory
00:12:28 - Building Memory Around LLMs (First-Principles Approach)
00:13:05 - Context Window and In-Context Learning
00:18:51 - Short-Term Memory Using Conversation History
00:23:43 - How Chatbots Implement Short-Term Memory
00:26:33 - Limitations of Short-Term Memory
00:40:06 - Why We Need Long-Term Memory
00:43:32 - Types of Long-Term Memory (Episodic, Semantic, Procedural)
00:47:20 - How Long-Term Memory Works (High-Level Architecture)
00:53:36 - Challenges and Tools for Memory Systems
00:56:40 - Future of Memory in LLMs
00:57:39 - Closing Thoughts