[staged] Introducing The Inference Fabric: Own Your AI

Fireworks has launched The Inference Fabric, a platform designed to enable organizations to fine-tune, deploy, and scale open-source AI models, thereby allowing them to own their AI and achieve high performance without relying on massive closed models. The platform promises a unified workflow, reducing friction and speeding up iterations by integrating training, deployment, monitoring, and retraining into a seamless process. It challenges common myths about closed models by showcasing real-world success stories, such as Vercel's use of reinforcement learning to significantly outperform proprietary models in error-free code generation. The Inference Fabric supports various methodologies, including Reinforcement Learning, Supervised Fine-Tuning, and Direct Preference Optimization, to improve model performance and align them with domain-specific needs. Additionally, it offers three paths tailored to different user needs: the Training Agent for product managers and app builders, Managed Training for ML engineers and platform teams, and the Training API for advanced ML teams and researchers. By providing this infrastructure, Fireworks aims to facilitate the creation of specialized, domain-specific AI agents that are owned and controlled by the teams that develop them, emphasizing the importance of owning AI models and data for sustainable competitive advantage.

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