- 回顾2024：与LLM又相伴一年的经历与思考 - 知乎
- 万字长文入门大语言模型（LLM） - 知乎
- “大模型本质就是两个文件！”特斯拉前AI总监爆火LLM科普，时长1小时，面向普通大众 - 知乎
- 大模型本质及趋势剖析，万字长文总结，让您玩转大语言模型 - 知乎
- https://simonwillison.net/2025/Mar/11/using-llms-for-code/
- RAG for Code Generation: Automate Coding with AI & LLMs
Ignore the “AGI” hype—LLMs are still fancy autocomplete. All they do is predict a sequence of tokens—but it turns out writing code is mostly about stringing tokens together in the right order, so they can be extremely useful for this provided you point them in the right direction.
If you assume that this technology will implement your project perfectly without you needing to exercise any of your own skill you’ll quickly be disappointed.
Instead, use them to augment your abilities. My current favorite mental model is to think of them as an over-confident pair programming assistant who’s lightning fast at looking things up, can churn out relevant examples at a moment’s notice and can execute on tedious tasks without complaint.
