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Thinking Machines launches Tinker API for flexible, distributed LLM fine-tuning

By PulseAugur Editorial · [1 sources] ·

Thinking Machines has launched Tinker, a new API designed to simplify the fine-tuning of language models. The service allows developers to write training loops on their local machines, which are then executed on distributed GPUs. Early users like Mira Murati have highlighted its flexibility and ability to abstract away complex GPU management. AI

IMPACT Simplifies LLM fine-tuning by abstracting GPU management, enabling broader experimentation.

RANK_REASON New API release for fine-tuning language models from a non-frontier lab.

Read on X — Mira Murati →

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

Thinking Machines launches Tinker API for flexible, distributed LLM fine-tuning

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New API release for fine-tuning language models from a non-frontier lab.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product, infra
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367 days old
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COVERAGE [1]

  1. X — Mira Murati TIER_1 English(EN) · Mira Murati ·

    RT Robert Nishihara: Very excited to see the Tinker release! @pcmoritz and I had a chance to experiment with the API. It does a nice job of providing ...

    RT Robert Nishihara<br />Very excited to see the Tinker release! @pcmoritz and I had a chance to experiment with the API. It does a nice job of providing flexibility while abstracting away GPU handling.<br /><br />Here's a simple example showing how to generate synthetic data and…

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