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Together AI uses models to improve inference, deploys 3T-parameter model

By PulseAugur Editorial · [1 sources] ·

Dan Fu, SVP of Research at Together, discussed the company's advancements in AI-powered inference during an appearance on The Compute 100 podcast. He explained how Together Compiler utilizes AI to enhance inference processes, enabling the deployment of extremely large models like a 3-trillion parameter model on its initial release day. Fu highlighted the growing capability of AI models to improve their own performance and the development of an inference loop that incorporates AI for self-improvement. AI

IMPACT Highlights the potential for AI models to improve their own inference capabilities, suggesting future advancements in self-optimizing AI systems.

RANK_REASON Podcast appearance discussing company's technology and future potential.

Read on X — Together (inference / OSS) →

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

Together AI uses models to improve inference, deploys 3T-parameter model

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Podcast appearance discussing company's technology and future potential.
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infra, model release
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COVERAGE [1]

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

    SVP of Research Dan Fu on @thecompute100 covered:

    SVP of Research Dan Fu on @thecompute100 covered: - what a kernel actually is - how a 3T-parameter model gets served on day zero - how Together Compiler uses AI to improve inference “We’re at a place where the models are good enough now that we can take those models and apply

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