精选理由
Karpathy 的洞察点出了微调在智能体系统中的关键作用，做 AI 智能体开发的团队值得关注这一趋势，建议点开原文看看具体思路。
受 Karpathy 关于 LLM 知识库的帖子启发，作者认为微调模型以优化智能体技能、记忆、上下文工程、路由效率和知识库将变得非常重要。这一方向可能改变 AI 系统的实用性和效率，尤其对构建复杂智能体的开发者有深远影响。作者还分享了一篇相关阅读链接，供进一步探讨。
原文 · elvis
This is something I have been thinking about after that @karpathy post on LLM Knowledge Bases. Fine-...
This is something I have been thinking about after that @karpathy post on LLM Knowledge Bases. Fine-tuning models for maintaining better agent skills, memory, context engineering, routing efficiency, and knowledge bases is going to be huge. You might also find this read interesting too: x.com/omarsar0/statu… 💬 0 🔄 0 ❤️ 1 👀 562 ⚡