Models & Labs
Introducing AutoJudge for Inference Acceleration
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Why it matters
- →This development could significantly improve the efficiency of large language models, making them faster and more effective for various applications.
AutoJudge enhances LLM inference by identifying significant token mismatches and utilizes self-supervised learning for improved performance. It achieves speedups of 1.5–2× over traditional speculative decoding methods.
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Together AI Partners with Adaption
Together AI and Adaption have formed a partnership to integrate Together Fine-Tuning into Adaptive Data, enabling teams to optimize datasets and deploy stronger open models.
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Together AI addresses Copy Fail vulnerability
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The latest update to llama-mmap improves compatibility with various platforms and model sizes. Key enhancements include support for 32-bit wasm and updates to gguf.cpp style.
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