How to learn about efficient AI? - Happy to announce the Awesome AI Efficiency repo that gathers a curated list of 100+ materials to understand the challenges and solutions in making AI faster, smaller, cheaper, greener.

🚀 It is designed for a **large audience** including beginners, decision-makers, engineers, and researchers.
📚 It contains **diverse materials** with newspaper articles, blogs, tools, tech reports, research papers, books, and lectures.

This is an ongoing project. Do not hesitate to share your feedback/suggestions and star the repo! 🌟

https://github.com/PrunaAI/awesome-ai-efficiency

2 replies

upvoted 3 articles 7 months ago

Article

🔥 Announcing FLUX-Juiced: The Fastest Image Generation Endpoint (2.6 times faster)!

and 3 others •

Apr 23

• 12

Article

An Introduction to AI Model Optimization Techniques

and 1 other •

Apr 18

• 29

Article

Optimise AI Models and Make Them Faster, Smaller, Cheaper, Greener

and 2 others •

Apr 4

• 19

reacted to sharpenb's post with 🔥 8 months ago

Post

3112

We open-sourced the pruna package that can be easily installed with pip install pruna :) It allows to easily ccompress and evaluate AI models including transformers and diffusers.

- Github repo: https://github.com/PrunaAI/pruna
- Documentation: https://docs.pruna.ai/en/stable/index.html

With open-sourcing, people can now inspect and contribute to the open code. Beyond the code, we provide detailed readme, tutorials, benchmarks, and documentation to make transparent compression, evaluation, and saving/loading/serving of AI models.

Happy to share it with you and always interested in collecting your feedback :)