How LLMs Learn from Context Without Traditional Memory
SMRTR summary
Large language models (LLMs) like GPT-4 use self-attention mechanisms to process text in parallel, improving efficiency and contextual understanding. These models are trained on massive datasets using next-token prediction, then fine-tuned with human feedback to generate more helpful and appropriate responses for various tasks.
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