Jev模型放弃文本生成，大幅提升AI响应速度
Recommended read. Jev gives up text generation to make AI dramatically faster. TypeSafe built a n...
朋友A发现了一个叫Jev的新模型，它比普通AI快很多，能更快地回答问题。
Jev模型通过并行处理结构化问题实现了40-200倍的速度提升，其RLCD训练方法优化了概率预测。团队报告在System One查询上响应速度显著加快。
Recommended read. Jev gives up text generation to make AI dramatically faster. TypeSafe built a n...
Recommended read. Jev gives up text generation to make AI dramatically faster. TypeSafe built a new architecture that answers structured questions in parallel, with RLCD training its probabilities to reflect how often it’s right. The team reports 40–200x faster responses on System One queries. Diogo Almeida @CompleteSkeptic After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 0 🔄 0 ❤️ 2 👀 757 📊 1 ⚡
