Own Your AI: Fireworks Training Preview

Fireworks Training, now in preview, is an end-to-end platform designed to train and deploy frontier models at scale, catering to different team needs through three distinct surfaces: a conversational agent for product teams, managed infrastructure for ML engineers, and a customizable training loop for research teams. The platform supports full-parameter training, ranging from models like Qwen3 8B to Kimi K2.5 with 1 trillion parameters, and offers features like custom loss functions via the Training API and multi-LoRA serving. Reinforcement learning (RL) is highlighted as a method for surpassing limitations of conventional fine-tuning, with examples from companies like Vercel, Genspark, and Cursor demonstrating significant improvements in model performance, error rates, and cost efficiency over closed frontier models. Additionally, Fireworks Training emphasizes numerical parity between training and inference to ensure reliable model evaluation, addressing challenges specific to mixture of experts (MoE) models and ensuring consistency across production-grade deployments.

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