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Kyle Hill gets into the internals of how ChatGPT works:
Kyle Hill's discussion focuses on the internal workings of ChatGPT, specifically referencing the GPT-3.5 paper. He emphasizes that ChatGPT is not sentient and explains the extensive training and statistical analysis involved in generating responses. The conversation highlights the importance of understanding Large Language Models (LLMs) and the use of temperature settings to modify GPT outputs. Additionally, Hill critiques the appropriateness of posting pop science content in technical forums.
PREREQUISITESThis discussion is beneficial for AI researchers, machine learning practitioners, and programmers interested in understanding the mechanics of ChatGPT and enhancing their knowledge of Large Language Models.
There are some PF forums where it may be appropriate, depending on the subject. I haven't watched the video above, but it sounds interesting. Posting videos as sources in the technical Physics and Math forums is almost never a good idea.Feynstein100 said:Not complaining but I thought we weren't allowed to discuss pop sci in the forum