📄 中文摘要
在之前的章节中，模型虽然掌握了丰富的语言知识，但缺乏针对特定任务的专注性。通过微调（Fine-Tuning）技术，可以将这个通才转变为专业化的工具，能够有效解决实际问题。Sebastian Raschka在其书中详细阐述了这一过程，强调了微调的重要性，使得人工智能不仅仅是一个有趣的玩具，而是一个能够应用于现实世界的实用工具。
从零开始构建大型语言模型 — 第六节：为模型赋予职业（微调）
📄 English Summary
Fazendo um LLM do Zero — Sessão 06: Dando uma Profissão ao Modelo (Fine-Tuning) 🎯👨⚕️
The previous sections highlighted that while the model possesses extensive language knowledge, it lacks focus on specific tasks. Fine-tuning is a technique that transforms this generalist into a specialized tool capable of effectively addressing real-world problems. Sebastian Raschka elaborates on this process in his book, emphasizing the significance of fine-tuning, which elevates artificial intelligence from being merely a curious toy to a practical tool applicable in real-world scenarios.