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Together AI streamlines LLM post-training with shared GPU capacity

By PulseAugur Editorial · [1 sources] ·

Together AI has introduced a new post-training feature designed to accelerate iteration on large language models. This feature allows multiple LoRA (Low-Rank Adaptation) experiments to utilize shared GPU capacity, enabling users to test more ideas without the need for additional infrastructure for each run. The platform aims to improve the speed and efficiency of post-training processes. AI

IMPACT Accelerates iteration for LLM fine-tuning and experimentation.

RANK_REASON A company announced a new feature for its platform that improves existing workflows.

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Together AI streamlines LLM post-training with shared GPU capacity

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A company announced a new feature for its platform that improves existing workflows.
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COVERAGE [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    post-training gets better the faster you can iterate

    post-training gets better the faster you can iterate multiple lora experiments can share the same gpu capacity on together post-training, so you can test more ideas without spinning up new infrastructure for every run https://t.co/0WHnc47hCY https://t.co/XJqNZ5VoKZ

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