Foundation models are raw pattern matchers trained to predict the next token, like an unlinked library with no concept of instructions. Instruct models undergo supervised fine-tuning and RLHF to follow commands and execute tasks, converting chat messages into templated prompts. Thinking models add chain-of-thought reasoning
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