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5 changes: 3 additions & 2 deletions README.md
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Expand Up @@ -581,8 +581,9 @@ P.P.S, Looking for guides and interviews on applying ML? 👉[`applyingML`](http
5. [A closer look at how LinkedIn integrates fairness into its AI products](https://engineering.linkedin.com/blog/2022/a-closer-look-at-how-linkedin-integrates-fairness-into-its-ai-pr) `LinkedIn` `2022`

## Infra
1. [Reengineering Facebook AI’s Deep Learning Platforms for Interoperability](https://ai.facebook.com/blog/reengineering-facebook-ais-deep-learning-platforms-for-interoperability) `Facebook` `2020`
2. [Elastic Distributed Training with XGBoost on Ray](https://eng.uber.com/elastic-xgboost-ray/) `Uber` `2021`
1. [ArXivist](https://github.com/qosi-org/arxivist) A multi-agent engine that automates the implementation of research papers into verifiable codebases using Scientific Intermediate Representation (SIR). 'QOSI' '2026'
2. [Reengineering Facebook AI’s Deep Learning Platforms for Interoperability](https://ai.facebook.com/blog/reengineering-facebook-ais-deep-learning-platforms-for-interoperability) `Facebook` `2020`
3. [Elastic Distributed Training with XGBoost on Ray](https://eng.uber.com/elastic-xgboost-ray/) `Uber` `2021`

## MLOps Platforms
1. [Meet Michelangelo: Uber’s Machine Learning Platform](https://eng.uber.com/michelangelo-machine-learning-platform/) `Uber` `2017`
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