💡Stop guessing. Start benchmarking. Every team building with LLMs runs into the same problems: “Which model is actually better for my task?” “Can I trust this before I ship it?” “How do I catch errors before users do?” Together Evaluations solves these problems — fast. This early preview of our new evaluation tool lets you define task-specific benchmarks and use a strong LLM as a judge to: ✅ Compare models side-by-side ✅ Score responses against your own criteria ✅ Classify outputs into custom labels — from safety to sentiment You can evaluate any serverless model on Together AI today. Later this summer, you’ll be able to evaluate fine-tuned models, custom models, and even commercial APIs — all in one place. 📊 Use it to test prompts, validate new use cases, find the best open-source model for your task. Learn more (links in comments!)
This is a much-needed step toward reliability in LLM deployment. Benchmarking with task-specific context is what bridges experimentation and production. At UpTech, we see growing demand from enterprises wanting to deploy AI safely. Having tools like this makes our job of assembling the right engineering teams even more impactful.