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# AI Lab: The secrets to keeping machine learning engineers moving fast

**[Facebook Engineering
](https://daily.dev/sources/facebook_code)** · 7 min read · 12 upvotes · 0 comments

## Summary

Meta's AI Lab is a pre-production framework that improves the developer velocity of machine learning engineers by minimizing the time to first batch (TTFB), which is the delay from submitting an ML workflow to its first batch of data processing. By continuously A/B testing common ML workflows, AI Lab proactively enhances TTFB and prevents regressions, leading to faster iterations and innovations. The implementation of AI Lab, exemplified by its use of the open-source Python Cinder runtime to achieve up to a 40% reduction in TTFB, shows significant improvements in ML infrastructure efficiency. Meta invites industry collaboration to further enhance such tools.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://engineering.fb.com/2024/07/16/developer-tools/ai-lab-secrets-machine-learning-engineers-moving-fast/>

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---

Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#devops](https://daily.dev/tags/devops)

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