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Introducing AutoJudge: Streamlined inference acceleration via automated dataset curation

Together

We introduce Auto Judge, a method that accelerates large language model (LLM) inference through task-specific lossy speculative decoding.

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Blogs Together

Learn how Cursor partnered with Together AI to deliver real-time, low-latency inference at scaleTogether Introducing preemptible compute: the same compute, half the priceTogether Introducing Together Instant GPU Clusters Accelerated by NVIDIA GPUs, with Self-Service ProvisioningTogether Introducing Together AI’s new lookTogether Hyena Hierarchy: Towards larger convolutional language modelsTogether Kimi K3: the complete developer guideTogether Docs-as-code solutions for API teams: how to choose the right platform in 2026Mintlify Calling Your Video Game With Your Phone: Part 1Deepgram How a marketing agency increased client conversions 35% with Zapier CanvasZapier Introducing CORPS: The 5 Pillars for a Robust Cloud Architecture FrameworkThenewstack Introducing New Slimmer Docker ImagesPulumi How Ramp automated receipt processing with fine-tuned LLMsModal Introducing: H100s on ModalModal pg_duckdb: Splicing Duck and Elephant DNAMotherduck The Serverless Backend for Analytics: Introducing MotherDuck’s Native Integration on VercelMotherduck The rise of slow personal assistantsCerebras Introducing DocChat: GPT-4 Level Conversational QA Trained In a Few Hours - CerebrasCerebras Simulating Human Behavior with Cerebras - CerebrasCerebras 100x Defect Tolerance: How Cerebras Solved the Yield Problem - CerebrasCerebras Cerebras Announces Six New AI Datacenters Across North America and Europe to Deliver Industry’sCerebras