T
traeai
Sign in

产品

Physics-Intern

用于理论物理问题求解的多智能体协作框架。

相关材料

已收录 2 条与 Physics-Intern 相关的内容,按评分排序。

[AINews] The End of Finetuning

The End of Fine-Tuning in AI

Latent Space3977 字 (约 16 分钟)
80

OpenAI has announced the deprecation of its fine-tuning APIs, marking the end of the fine-tuning era. Despite this, top-tier AI companies like Cursor and Cognition are increasing their use of open model fine-tuning. Research benchmarks are becoming increasingly challenging, and agentic systems are making breakthroughs in science and mathematics.

入选理由:OpenAI弃用微调API,标志着微调时代的结束。

FeaturedArticle#AI#Fine-Tuning#OpenAI#Research Benchmarks#Agentic Systems中文
watching a team of agents tackling a hard theoretical physics problem is quite mesmerizing - self-co...

The Physics-Intern framework boosts Gemini 3.1 Pro's performance on the CritPt benchmark from 17.7% to 31.4% via multi-agent collaboration, setting a new SOTA in theoretical physics reasoning.

入选理由:Physics-Intern 使用多智能体协作框架解决复杂理论物理问题。

FeaturedTweet#AI Agent#Theoretical Physics#LLM Reasoning#Gemini#CritPt中英混合

跨材料问答 · Physics-Intern

回答基于:Physics-Intern 相关 2 条材料
    0 / 500

    AI may generate inaccurate information. Please verify important content.