为了优化 FunctionGemma 在你的函数上的性能，你需要训练数据——用户请求示例及其对应的函数调用。数据格式为简单的 JSONL，其中每一行将用户短语映射到一个函数名及其参数。
Fighting False Positives
，详情可参考同城约会
這晚的主題是《甄嬛傳》，台下年輕觀眾都是劇迷，一開口便能倒背如流劇中的經典台詞：「賤人就是矯情」、「皇上，你害得世蘭好苦啊」、「終究是錯付了」。
It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.
It's that easy. We know that the small portion of Wendy's chili isn't technically "free" if you're needing to make an order of at least $5, but in this economy? We'll take what we can get. Buy a couple of drinks to partner with your chili. Buy a burger and have the chili as a starter. Do what you've got to do — Wendy's chili is a solid option at anytime of the day.