Fireworks RFT: Build AI agents with fine-tuned open models that outperform frontier closed models

Fireworks RFT offers a managed service for reinforcement learning that enables developers, enterprises, and researchers to fine-tune open models like DeepSeek V3 and Kimi K2, achieving performance that surpasses closed models by optimizing for specific use cases such as multi-turn agents, coding, and complex reasoning. The platform is designed to be accessible and developer-friendly, eliminating infrastructure management while providing seamless integration with existing production environments and ensuring enterprise-level security and compliance. Notable success stories with Genspark and Vercel demonstrate how the service has improved model quality and speed, with Genspark achieving a 10% quality improvement and a 50% cost reduction, and Vercel obtaining a 93% error-free code generation rate that was 33% better than closed models. Fireworks RFT supports flexible deployment options, including fully managed training and secure training with proprietary data controls, while enabling iterative performance monitoring and model adjustments. The platform is free to use until November 24, 2025, offering a robust solution for those seeking to enhance AI model performance and quality with minimal effort required from specialized teams.

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