LLM 编程模型在创意任务上或胜过扩散模型,研究者发推讨论

It has been a bit surprising, to say the least, how powerful LLMs for code have turned out to be in ...

精选理由

推文聊了个反直觉观点:写代码的 LLM 在生成艺术、视频编辑、3D 游戏等创意任务上,可能比扩散模型更强。

AI 摘要

omarsar0 在推文中说,LLM 编程模型在解锁通用能力上的表现超出预期。他认为扩散模型很快会有自己的高光时刻,但更期待 LLM 继续进步并超越。@trq212 的近期程序化生成艺术、视频编辑和 3D 游戏 demo 让他认为,LLM 编程模型在不少创意工作上比扩散模型更强。

原文 · elvis

It has been a bit surprising, to say the least, how powerful LLMs for code have turned out to be in ...

It has been a bit surprising, to say the least, how powerful LLMs for code have turned out to be in unlocking general capabilities. Diffusion models are going to have their moment soon, but I expect LLMs to continue to improve and transcend. Thariq @trq212 all of the recent proc gen art, video editing and 3d game demos recently have made me update towards LLM coding models being better at a lot of creative work than diffusion models 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 3 👀 652 📊 1 ⚡