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    Jensen Huang likens an AI agent harness to an “exoskeleton” for a language model

    A post quotes Huang saying the harness helps a language model retrieve knowledge, maintain working memory and use tools.

    RP
    1 Source, 3h ago, first seen 3h ago

    TLDR

    A post quotes Jensen Huang comparing an AI agent harness to an “exoskeleton” around a large language model. He says it provides the parts needed to retrieve knowledge, maintain working memory, use tools and collaborate to solve problems.

    Combined views

    4.2K

    1 Source, first seen 3h ago

    Combined views

    4.2K

    1 Source, first seen 3h ago

    30 likes
    30 likes
    15 comments
    12 saves
    5 reposts
    15 comments
    12 saves
    5 reposts

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    1 Source

    @rohanpaul_aiAgentic harness explained by Jensen Huang. "AI is intelligence, and it starts with software. In fact, if you look at AI in the last year, we started by talking about large language models, or LLMs. So, large language models, what made AI useful was putting an exoskeleton around the LLM. That exoskeleton is what is called an agent harness. It essentially gives the brain the parts necessary to retrieve knowledge, have working memory, use tools, collaborate, and so on, in order to solve problems." ---- From "DRM News" YouTube channel, (full video link in comment)3h

    1 Source

    @rohanpaul_aiAgentic harness explained by Jensen Huang. "AI is intelligence, and it starts with software. In fact, if you look at AI in the last year, we started by talking about large language models, or LLMs. So, large language models, what made AI useful was putting an exoskeleton around the LLM. That exoskeleton is what is called an agent harness. It essentially gives the brain the parts necessary to retrieve knowledge, have working memory, use tools, collaborate, and so on, in order to solve problems." ---- From "DRM News" YouTube channel, (full video link in comment)3h