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Joined 7 months ago
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Cake day: February 2nd, 2026

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  • Yes and no. Usually you train a LLM “unlabeled”. So it has to figure Out stuff alone.

    When request are Made you can set up how the LLM will determine the probablity of answers. You can set how narrow this will be and even define a Lot, how a prompt or answer should look like, by giving it examples.

    LLM can fail on simple math tasks if they haven’t gotten any logic. Even the results can be different, per prompt.

    That likelyhood “TEMP” and samples for logic can be manipulated by human, to make the AI respond to users in a desired way. Ofc thats a Lot of Work for a General AI like ChatGPT. But now money has to be Made and that has been the plan all along. So the AI is and will be very appealing to their Users.



  • DGen@piefed.ziptoAsk Lemmy@lemmy.world*Permanently Deleted*
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    3 months ago

    Nothing to be excited about. All what those “agents” do is to Connect to LLM. There has been added more logic as in the past.

    But still. It is a LLM. They get fundamental set ups. After launch they have to undergo dozens of risk assesment to meet governance Standards - that are actually pretty basic for the time being.

    “Agentic AI” is nothing more than a new fancy word for investors and stock market. Those “agents” a very far away from being actually ready (as if those companies Care). Even creating this around a LLM needs a lot of know how and from my persoective it is just Not sustainable as of now.