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:closed_book: Clarity in the current fast-paced mess of Open Source innovation

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### Type new chapter ### Chapter/Page Something else ### Description _No response_

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### Type new chapter ### Chapter/Page Something else ### Description _No response_

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### Type new chapter ### Chapter/Page Something else ### Description _No response_

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### Type new chapter ### Chapter/Page Something else ### Description _No response_

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### Type new chapter ### Chapter/Page Something else ### Description _No response_

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### Type new chapter ### Chapter/Page Something else ### Description ### Description - [ ] https://github.com/IBM/ModuleFormer - [ ] https://github.com/SkunkworksAI/hydra-moe - [ ] Decentralized Mixture of Experts

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### Type new chapter ### Chapter/Page fine-tuning ### Description The contents on this chapter should be the following: 1. What is Parameter efficient fine-tuning methods and why we do it....

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### Type new chapter ### Chapter/Page fine-tuning ### Description Similar to LLMs, we use similar fine-tuning strategies for diffusion models too. So this chapter should include different ways of fine-tuning...

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### Type new chapter ### Chapter/Page eval-datasets ### Description The evaluation page is really good, however, it would be awesome if we could add some information on the following evaluation...

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# Software Development toolKits — State of Open Source AI Book [https://book.premai.io/state-of-open-source-ai/sdk/](https://book.premai.io/state-of-open-source-ai/sdk/)

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