How ChatGPT Works Technically | - AI動画分析

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Okay, this is a good intro. They're setting the stage, promising to break down how ChatGPT works and what they learned making the video. I'm ready to dive in with them.
Wow, 100 million users in two months is absolutely wild! That's a crazy growth rate, even compared to Instagram. It really highlights how impactful ChatGPT has been.
So the core is an LLM, specifically GPT-3.5. It's interesting they mention GPT-4 but don't have details yet; that makes sense given how new it is. Defining LLM as a neural network trained on text to understand and generate language is a clear starting point.

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The core of ChatGPT is a Large Language Model (LLM), specifically GPT-3.5, a neural network trained on vast amounts of internet text data [0:47]. This training enables the model to understand and generate human language by predicting the next "token," which are numerical representations of words or parts of words [1:11, 1:34]. With 175 billion parameters across 96 layers, GPT-3.5 is a massive deep learning model capable of producing grammatically correct and semantically relevant text, but without further refinement, its outputs can be problematic [1:58].
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The core of ChatGPT is a Large Language Model (LLM), specifically GPT-3.5, a neural network trained on vast amounts of internet text data [0:47]. This training enables the model to understand and generate human language by predicting the next "token," which are numerical representations of words or parts of words [1:11, 1:34]. With 175 billion parameters across 96 layers, GPT-3.5 is a massive deep learning model capable of producing grammatically correct and semantically relevant text, but without further refinement, its outputs can be problematic [1:58].
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