minimind/course/labs/tiny_sft.jsonl

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{"conversations":[{"role":"user","content":"MiniMind 是什么?"},{"role":"assistant","content":"MiniMind 是一个小型语言模型教学项目,用来学习从预训练到后训练的完整流程。"}]}
{"conversations":[{"role":"user","content":"SFT 和预训练有什么区别?"},{"role":"assistant","content":"预训练通常学习普通文本的下一个 token,SFT 使用对话数据,并主要让模型学习 assistant 的回复。"}]}
{"conversations":[{"role":"system","content":"你是一个简洁的 AI 助手。"},{"role":"user","content":"用一句话解释 tokenizer。"},{"role":"assistant","content":"tokenizer 负责把文本切分并映射成模型可以处理的 token id。"}]}