微调圈有新工具了！PorTAL 让你能轻松换基础模型，再也不用担心训练好的模型跟不上新版本。
当前微调仍是未被充分研究的领域。Agentic Fine-Tuning 被认为即将引发行业变革。PorTAL 工具允许用户快速更换基础模型，避免因模型迭代而重做微调。例如 Kimi 2.6 仅发布数月就已显过时，PorTAL 可解决这类问题。
Highly-recommended read. Even with all the research, fine-tuning is such an underexplored problem. ...
Highly-recommended read. Even with all the research, fine-tuning is such an underexplored problem. Based on what I've seen among the top AI-powered orgs, we are on the cusp of a fine-tuning revolution. Agentic fine-tuning is going to dramatically change things in AI. rahul @rahulgs In many ways, finetuning or RLing a custom model is a bet against model progress and scaling. It's to choose to say "we don't think there's going to be a good enough base model for this task anytime soon, so we're not going to wait" with oss release velocity these days, its a hard tradeoff It's easy to end up on a custom model with an outdated base (Kimi 2.6 is only a few months old) So we fixed it - PorTAL lets you swap base models quickly, allowing your learned task specific behaviors to port to new models as they come, no matter how fast 🔗 View Quoted Tweet 💬 5 🔄 2 ❤️ 20 👀 4907 📊 8 ⚡