Together AI expands fine-tuning service with tool calling, reasoning, and vision support

Together AI has introduced advancements in its Together Fine-Tuning service, which now supports fine-tuning for tool calls, reasoning, and vision-language models (VLMs) to enhance reliability and performance in AI workflows. Tool call fine-tuning ensures structured, production-grade execution by validating schemas and improving inference reliability, while reasoning fine-tuning allows models to learn domain-specific logic through thinking traces. The service also offers native support for vision-language models to better interpret domain-specific visual data, with options for joint training of vision and language layers. To accommodate large models, Together AI has upgraded its infrastructure to efficiently handle models with up to 1 trillion parameters, achieving significant throughput improvements. This update also includes features like job cost and time estimations to aid planning and budgeting, enabling faster iterations and reduced costs for AI teams.