Raw LLM Responses

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The A.I. agent is put in a feedback system where it gives an estimate based on data it has received. You give the system pictures of "dog" for its "bank" then offer it pictures with no classification to see if it can estimate if there's a "dog" in the that input. The feedback system then corrects the result and the agent trains itself this way until it gets within acceptable estimates for most pictures of "dog", and then you have a billion mini-issues that require tweaking and optimizing where the algorithm is detecting a Lynx as a "dog" or not recognizing "Pugs". It's not perfect by any means which is why this video is a clickbait title.
youtube AI Jobs 2020-03-07T16:4… ♥ 1
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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