State of Open Source AI is a guide/book (2023 Edition) by premAI.com that surveys the open source AI landscape: frameworks, tools, model evaluation, deployment, licensing, etc. It aims to help practitioners keep up with fast changes; includes overviews at the start of sections, pros/cons, background context, concrete examples of models/training/data/deployment, and a glossary for terms. Its goal is to reduce “FOMO” by giving clarity in what’s going on in open source AI innovation.
Features
- Broad coverage: model training, evaluation metrics, datasets, licensing, deployment tools, etc.
- Glossary of terms so readers unfamiliar with some frameworks/tools can catch up
- Pros/cons discussions for each topic, not just listing tools but contextualizing usefulness/trade-offs
- Examples of real models, their training data, and deployment instances to illustrate concepts
- Up-to-date with recent developments in open source AI (2023)
- Freely accessible book/site; versioned/documented
Categories
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