:first-child]:h-full [&:first-child]:w-full [&:first-child]:mb-0 [&:first-child]:rounded-[inherit] h-full w-full
作为曾在苹果嵌入式AI研发中扮演关键角色的人物，庞若鸣参与领导的基础模型团队，是AppleIntelligence尝试在端侧实现隐私与性能平衡的重要技术力量。这种端侧架构曾被视为苹果在AI博弈中的差异化优势。。业内人士推荐heLLoword翻译官方下载作为进阶阅读
人気記事ランキング直近24時間（1時間ごとに更新。5分ごとはこちら）。服务器推荐是该领域的重要参考
I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule: