A must-read survey to refresh math and gen AI basics → The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
It shows a clear walkthrough of how gen AI learns to understand, model, and create complex data, covering:
- Latent algebra foundations: PCA, SVD, autoencoders
- Latent models: PPCA and VAEs
- VAEs: ELBO, inference, reparameterization
- Diffusion: the way from noise → denoising
- Score-based and continuous-time generative modelling
- Density models: flows, autoregression
- GANs and energy-based models beyond likelihoods
Release notes for new 6.6 WSL 2 kernel. In addition to new loadable modules config, several former out-of-tree patches have been upstreamed into mainline, reducing the number of those to a couple Hyper-V quirks and pass-through DirectX: https://t.co/2wDYrrkbTw
From seeing the first Iris sensors come off the lines at our new high-volume facility in Monterrey, Mexico → to #AutoShanghai where our CEO Austin Russell joined @VolvoCars on stage with the new #VolvoEX90 Excellence. #partnership