Together Evaluations now supports comparing top commercial APIs vs. open source models
9mo
- Published
- Collected
Together Evaluations now supports OpenAI, Anthropic, and Google models for cross-provider benchmarking. Compare open-source, fine-tuned, and proprietary models side-by-side to make data-driven decisions on quality, cost, and performance—all in one platform.
overfeed.news indexes and links. We publish a short excerpt — the full article stays at Together AI Blog.
More from Together AI Blog
Log in to follow this sourceTogether Compiler: Continuous Compilation for AI inference
Together Compiler uses agents and persistent engines to optimize open models in under 24 hours, delivering up to 3.7x higher throughput as traffic changes.
Polymorphic Inference: self-tuning inference for open models
Models, traffic and chips are constantly changing. Polymorphic Inference adapts to each, and Together Compiler uses AI agents to keep production inference tuned.
Together Compiler: Continuous Compilation for AI inference
Together Compiler uses agents and persistent engines to optimize open models in under 24 hours, delivering 1.3 to 3x higher throughput as traffic changes.
Auto repair for Together GPU Clusters: from GPU fault to healthy node
Together GPU Clusters auto repair detects GPU, host and fabric faults, picks the lightest fix, and lets you decide per fault and per Xid code which repairs run automatically. Here is how it works.