A research-driven model shaping platform for fine-tuning 100B+ parameter models with native tool-calling, vision, and reinforcement learning.
Together Fine-Tuning supports LoRA and full fine-tuning for 100B+ parameter models across text, vision, and tool-calling. Uses UPipe for 82.5% less activation memory and FFT Optimizer for 25% memory reduction. Features multi-node orchestration with checkpoint resumption, extended context support at 2-4x longer sequences, and a Reinforcement Learning API for shaping agentic behavior.
Domain-specific models for risk assessment
Agentic behavior shaping through tool-calling fine-tuning
Vision model customization for document processing
RL for reasoning tasks
Improved accuracy and reduced hallucinations
Up to 6x higher training throughput
Democratized RL training access
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