Together AI Launches Post-Training Service for Custom Model Fine-Tuning

Together AI has introduced a dedicated post-training service, giving developers and enterprises a managed platform for fine-tuning, instruction-tuning, and RLHF-style training on top of open-weight base models. The service abstracts away the infrastructure complexity of running large-scale training jobs, letting teams focus on data and objectives rather than cluster management. This is particularly relevant as custom model development becomes a competitive differentiator for AI product teams who need domain-specific behavior beyond what general-purpose APIs provide. Together AI's positioning in the open-model ecosystem makes this a natural complement to models like Llama, Mistral, and others that teams are already deploying via the platform. Developers looking to move from prompt engineering to model ownership should treat this launch as a significant reduction in the barrier to doing so.
Read original source ↗Part of the 2026-10-20 briefing→