新模型 Jev 发布，训练速度和成本大幅提升
This is cool, but if your output domain is known in advance, why not just train a model to produce l...
ChatGPT 共同发明人推出的新模型 Jev，训练速度和成本大幅提升，值得了解。
Diogo Almeida（ChatGPT 共同发明人）推出新模型 Jev，训练速度比现有模型快 20-200 倍，成本降低 40-400 倍（输出令牌免费）。该模型采用 RLCD 训练方法，旨在优化决策能力。
This is cool, but if your output domain is known in advance, why not just train a model to produce l...
This is cool, but if your output domain is known in advance, why not just train a model to produce logprobs over enums? 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 💬 26 🔄 7 ❤️ 213 👀 42275 📊 43 ⚡
