Poolside团队分享Laguna训练细节，了解他们如何结合人类和智能体优化训练循环，对AI训练感兴趣的你不容错过。
@poolsideai研究人员@ConnorBAdams和@aalSonOfRavi与@petergostev一起探讨Laguna的预训练和后训练，以验证250,000个长时序轨迹中的技能协同效果。在YouTube上查看完整对话，了解Poolside如何结合人类、智能体和证据标注的评论来优化未来训练循环。
Arena Conversations: Training Laguna with @poolsideai researchers, @ConnorBAdams and @aalSonOfRavi. ...
Arena Conversations: Training Laguna with @poolsideai researchers, @ConnorBAdams and @aalSonOfRavi . With @petergostev , they dig into pre-training that builds broad capability, and post-training to reveal whether those skills actually work together across 250,000 long-horizon trajectories. Check out the full conversation on our YouTube to hear how Poolside is pairing humans, agents, and evidence-annotated reviews to sharpen future training loops. Link below. Your browser does not support the video tag. 🔗 View on Twitter 💬 1 🔄 1 ❤️ 6 👀 2121 📊 2 ⚡