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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 []. 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 [, ]. 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 [].
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Video summary will appear here after you start watching
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 []. 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 [, ]. 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 [].