Karpathy 分享让大语言模型输出更易读的提示词技巧
RT by @trq212: We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fu
Karpathy 分享理解大语言模型输出的提示词技巧,包括要求模型用 ASD-STE100 受控语言写作,或提出 80% 接近该规范以降低严格程度。他还建议让模型生成图表、HTML 交互网页,以及用 ElevenLabs API key 配音的 3b1b 风格讲解视频。他认为随着模型变强,工作会更多上升到监督与理解层面,可以索取以往不划算的大型定制一次性软件产物。
来源:X:Thariq (@trq212) · x.lingyaoai.com