Announcing Together Python SDK v2.0
Together AI ships a Python SDK v2.0 release candidate: a type-safe, OpenAPI-generated client replacing the legacy v1 SDK, with beta Instant Clusters APIs.
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Together AI Blog
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Introducing AutoJudge: Streamlined inference acceleration via automated dataset curation
AutoJudge accelerates LLM inference by identifying which token mismatches actually matter. Using self-supervised learning to train a lightweight classifier, it accepts up to 40 draft tokens per cycle—delivering 1.5–2× speedups over standard speculative decoding with minimal accur
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How to run TorchForge reinforcement learning pipelines in the Together AI Native Cloud
How to run TorchForge reinforcement learning pipelines on Together AI's Instant Clusters, with a demo and configuration guidance for distributed training.
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Together AI and Meta partner to bring PyTorch Reinforcement Learning to the AI Native Cloud
Build, train, and deploy advanced AI agents with integrated reinforcement learning on the Together platform.
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Together AI delivers fastest inference for the top open-source models
Together AI achieves up to 2x faster inference for top open-source models like Qwen, DeepSeek, and Kimi through GPU optimization, advanced speculative decoding, and FP4 quantization—ranking #1 in speed benchmarks on NVIDIA Blackwell architecture.
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FLUX.2: Multi-reference image generation now available on Together AI
Production-grade image generation with multi-reference consistency, exact brand colors, and reliable text rendering. FLUX.2 from Black Forest Labs, now on Together AI's platform.
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How to evaluate and benchmark Large Language Models (LLMs)
Understanding how to evaluate and benchmark Large Language Models (LLMS). Test, compare, and understand LLMs.
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Announcing the fastest inference for realtime voice AI agents
Together AI launches the fastest voice AI stack: streaming Whisper STT, serverless open-source TTS (Orpheus & Kokoro), and Voxtral transcription. Sub-second latency for production voice agents.
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Dynamic AI agent testing for the real world with Collinear Simulations and Together Evals
Test AI agents in the real world with Collinear TraitMix and Together Evals: dynamic persona simulations, multi-turn dialogs, and LLM-as-judge scoring.
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Large Reasoning Models Fail to Follow Instructions During Reasoning: A Benchmark Study
ReasonIF finds frontier LRMs fail to follow reasoning instructions >75% of the time; introduces a benchmark across languages, formatting, and length.
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