• @mobileraj shares a teaching framework for LLMs that layers knowledge access: native model knowledge only, short-term chat history, long-term persisted files, and external tools like web search.
• The approach demonstrates how these elements combine to build a complete AI “harness,” making abstract concepts like context windows and tool use easier to understand for learners.
• This progressive structure mirrors real-world AI system design, highlighting how restricting or enabling memory/tools reveals the boundaries and strengths of large language models.
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http://www.youtube.com/watch?v=QXIaNZi3mHQ
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