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

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

Fireworks RFT (Reinforcement Fine-Tuning) is a managed service that enables developers, enterprises, and researchers to fine-tune open models like DeepSeek V3 and Kimi K2 for building high-quality AI agents.

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BlogsFrontier AI at a fraction of the cost: open-source worker agents with a closed-source advisor.Fireworks BlogsDeepSeek V4 Pro: Validating Frontier Models for ProductionFireworks BlogsCan open models carry readable silent signals before they speak? Reproducing J-Lens Readouts on KimiFireworks BlogsFireworks Nexus: Drop-in Open Frontier Intelligence for Teams with BudgetsFireworks BlogsTrain past the frontier: Training API now generally availableFireworks BlogsFrontier-lab training infrastructure, now as a serviceFireworks NewsJaeger vs. Zipkin: Battle of the Open Source Tracing ToolsThenewstack NewsKyverno Defends Containers Against Security Configuration ErrorsThenewstack BlogsOpen Source Vulnerabilities: How to Maintain Speed, SecurityThenewstack NewsMulticloud Paves the Way for Cloud Native Resiliency ModelsThenewstack BlogsMigrate Datadog telemetry with the OpenTelemetry CollectorClickhouse BlogsClickHouse docs relaunchClickhouse BlogsClickHouse on Docker Hardened ImagesClickhouse EventsCompliance without the chaos: Credential governance for financial services1password News1Password becomes AWS Security Competency Partner1password BlogsTailscale raises $160 Million (USD) Series C to build the New InternetTailscale BlogsVideo: Getting started with Tailscale Access Control ListsTailscale EventsHex Partners and Agents Data MixerMotherduck BlogsHow to build an interactive, shareable sentiment analysis dashboard with MotherDuck & Fabi.aiMotherduck BlogsHow Notion build and grew our data lake to keep up with rapid growthNotion So