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description: FOMO cure #88

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Oct 16, 2023
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description: FOMO cure #88

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2 changes: 1 addition & 1 deletion README.md
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*Clarity in the current fast-paced mess of Open Source innovation.*

This is the source repository for [The State of Open Source AI][book] ebook, a comprehensive guide exploring everything from model evaluations to deployment.
This is the source repository for [The State of Open Source AI][book] ebook, a comprehensive guide exploring everything from model evaluations to deployment, and a great FOMO cure.

[book]: https://book.premai.io/state-of-open-source-ai

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4 changes: 2 additions & 2 deletions index.md
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*Clarity in the current fast-paced mess of Open Source innovation {cite}`prem_stateofosai`*

As a data scientist/developer with a 9 to 5 job, it's difficult to keep track of all the innovations. There's been enormous progress in the field in {term}`the last year <SotA>`.
As a data scientist/ML engineer/developer with a 9 to 5 job, it's difficult to keep track of all the innovations. There's been enormous progress in the field in {term}`the last year <SotA>`.

The guide covers all the most important categories in the Open Source AI space, from model evaluations to deployment. It includes a [](#glossary) for you to quickly check definitions of new frameworks & tools.
Cure your FOMO with this guide, covering all the most important categories in the Open Source AI space, from model evaluations to deployment. It includes a [](#glossary) for you to quickly check definitions of new frameworks & tools.

A quick TL;DR overview is included at the top of each section. We outline the pros/cons and general context/background for each topic. Then we dive a bit deeper. Examples include data models were trained on, and deployment implementations.

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