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Every byte counts: ARCv3 and the case for cross-region RL

Fireworks

Fireworks’ ARCv3 delivers lossless BF16 weight updates nearly 50% smaller than ARCv2, making cross-region reinforcement learning more practical.

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Blogs Fireworks

BlogsIntroducing Llama 3.1 inference endpoints in partnership with MetaFireworks BlogsDistillation with Reasoning: Can DeepSeek R1 Teach Better Than Humans?Fireworks BlogsHow Fireworks evaluates quantization precisely and interpretablyFireworks BlogsFirefunction-v2: Function calling capability on par with GPT4o at 2.5x the speed and 10% of theFireworks BlogsDeepSeek V4 Pro: Tops SWE-Bench & Cuts Cost per Task by 3x vs. Fable 5Fireworks BlogsBuilding Enterprise-Scale RAG Systems with Fireworks and MongoDB AtlasFireworks BlogsObservability: It's Every Engineer’s Job, Not Just Ops’ ProblemHoneycomb BlogsObservability Without Tradeoffs: Introducing Powerful New Honeycomb Telemetry Pipeline FeaturesHoneycomb BlogsAgents Don’t Query Like Humans DoMotherduck BlogsIn-region inference, open models, and new European infrastructure for sovereign AI.Mistral Blogs15 Best Synthesia Alternatives in 2026: AI Video TestedHeygen ResourcesPACKAGE_JSON_NAME_REQUIREDVercel BlogsObservability with AI? Honeycomb with AI!Honeycomb BlogsDisposable Code Is Here to Stay, but Durable Code Is What Runs the WorldHoneycomb BlogsFirst Azure Region Available on Neon (Beta)Neon ResourcesIssue propertiesLinear BlogsCross Compiling Rust Code for Multiple ArchitecturesDocker BlogsBranch DomainsVercel ResourcesCDN securityVercel BlogsShip JavaScript where it counts with Vite + Partial HydrationNetlify