Announcing Together AI and Adaption Partnership
Blog post from Together AI
Adaptive Data has partnered with Adaption to integrate Together Fine-Tuning, enhancing the capabilities of model training by optimizing datasets and enabling seamless fine-tuning workflows. Co-founded by Sara Hooker and Sudip Roy, Adaption brings expertise from Cohere and Google DeepMind to improve data quality by an average of 82% across early deployments. The integration allows users to connect their Together AI accounts to experiment and fine-tune models efficiently, using optimized hyperparameters and infrastructure that supports large open models like Kimi K2.5, GLM 5.1, and Qwen 3.5-397B. Once optimized, these models can be deployed and evaluated on Together AI's high-performance inference service, with the platform offering features like cost estimation, training ETA tracking, and direct export to Hugging Face Hub.