Скачать или смотреть Day 7: LLM Memory EXPOSED! Manage Conversation State (The Illusion of Memory) |

Unlock the secret to building AI chatbots that remember! This video reveals why Large Language Models (LLMs) are inherently stateless and how to master the 'memory illusion' by effectively managing conversation state through explicit context passing. Discover why your AI 'forgets' previous interactions, exploring the fundamental architectural choice for scalability, cost, and flexibility. Learn the core concept of explicit context passing: storing conversation history, retrieving it, and constructing comprehensive prompts. We'll detail the essential Component Architecture—User/Client, Chat History Manager, History Store, Prompt Constructor, and the Stateless LLM Service—and trace the precise Control Flow of a message. Understand critical production challenges like token limits, latency, and cost, with a sneak peek into advanced strategies like Sliding Windows, Summarization, and Vector Databases (RAG) for robust, long-term memory. This lesson focuses on implementing a basic in-memory history manager with a simple sliding window. Perfect for AI architects, developers, and engineers building intelligent, coherent AI applications.

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