We’re excited to partner with Adaption to make Together Fine-Tuning available in Adaptive Data . Adaption is co-founded by Sara Hooker and Sudip Roy, both former leaders at Cohere and Google DeepMind veterans. Adaptive Data addresses the data challenges of modern model training by helping teams analyze dataset structure, adapt examples, evaluate quality, and export model-ready data. Adaption describes this set of capabilities as bringing data optimization techniques typically reserved for frontier labs to everyday builders, and reports an average 82% increase in data quality across early deployments. With this integration, Adaption users can connect their Together AI account to achieve the fastest time to high-quality, fine-tuned model through a seamless experimentation workflow. In Adaption, the user optimizes their training dataset, then directly executes Together fine-tuning on that data with optimized hyperparameters as a starting point. Once trained, the fine-tuned model is deployed for evaluation and eval results are shown to the user; from there, users can deploy the model on Together AI’s high-performance inference service. …