AI Year in Review - Expert Insights from Kai-Fu Lee & Yuval Noah Harari

Video Description

References: ► Full list on my blog: https://www.louisbouchard.ai/2021-ai-papers-review/ ► GitHub repo: https://github.com/louisfb01/best_AI_papers_2021 ► My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/ 👀 If you'd like to support my work and use W&B (for free) to track your ML experiments and make your work reproducible or collaborate with a team, you can try it out by following this guide: https://colab.research.google.com/github/louisfb01/examples/blob/master/colabs/pytorch/Simple_PyTorch_Integration.ipynb Since most of the code here is PyTorch-based, we thought that a QuickStart guide for using W&B on PyTorch would be most interesting to share. 👉Follow this quick guide, use the same W&B lines in your code or any of the repos below, and have all your experiments automatically tracked in your w&b account! It doesn't take more than 5 minutes to set up and will change your life as it did for me: https://colab.research.google.com/github/louisfb01/examples/blob/master/colabs/pytorch/Simple_PyTorch_Integration.ipynb 🙌 Thank you to Weights & Biases for sponsoring this repository and the work I've been doing, and thanks to any of you using this link and trying W&B! Chapters: 0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff in 2022, I promise. 0:59 2021, A year in review 12:44 AI and Biases, Kai-Fu Lee #StateOfAI #ArtificialIntelligence #AI2021