AI確實存在一些非常現實的問題，從倫理問題到其可能對環境造成的影響。有些人甚至選擇完全不與它互動。但如果你打算使用大型語言模型，那麼學會如何更快、更有效率地獲得你想要的結果，不僅對你有好處，對過程中消耗的能源也可能更有益。以下這些技巧將幫助你入門。
“党看干部主要就是看肩膀能不能负重，能不能超负荷”“我们做人一世，为官一任，要有肝胆，要有担当精神”“要拎着乌纱帽干事，不要捂着乌纱帽做官”“‘为官避事平生耻。’担当大小，体现着干部的胸怀、勇气、格调”……关键时刻站得出来，危急关头顶得上去，折射的是政绩观，彰显的是党性和作风。
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丰富任务类型：覆盖全生命周期 AI 工作流
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Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.