Models & Labs
Together AI Introduces Direct Preference Optimization
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Why it matters
- →This development provides AI practitioners with a new method to enhance model alignment with user preferences, potentially improving user experience.
Together AI has announced support for Direct Preference Optimization (DPO) fine-tuning, which aligns language models with human preferences, accompanied by code examples and technical details.
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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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