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The (Unfinished) PDE Coffee Table Book

THE (UNFINISHED) PDE COFFEE TABLE BOOK Lloyd N. Trefethen and Kristine Embree, editors Unpublished, 2001 During 2000-2001 a group project based in the Oxford University was begun to write this book. The vision was 100 2-page spreads, each one giving exactly the most useful possible starting information about a different partial differential equation, with beautiful color illustrations. Many people at Oxford and around the world contributed drafts, which were then extensively rewritten and e

Apple just released a weirdly interesting coding language model

Apple quietly dropped a new AI model on Hugging Face with an interesting twist. Instead of writing code like traditional LLMs generate text (left to right, top to bottom), it can also write out of order, and improve multiple chunks at once. The result is faster code generation, at a performance that rivals top open-source coding models. Here’s how it works. The nerdy bits Here are some (overly simplified, in the name of efficiency) concepts that are important to understand before we can move

Apple just released a weirdly interesting coding language model

Apple quietly dropped a new AI model on Hugging Face with an interesting twist. Instead of writing code like traditional LLMs generate text (left to right, top to bottom), it can also write out of order, and improve multiple chunks at once. The result is faster code generation, at a performance that rivals top open-source coding models. Here’s how it works. The nerdy bits Here are some (overly simplified, in the name of efficiency) concepts that are important to understand before we can move

Researchers Uncover Hidden Ingredients Behind AI Creativity

We were once promised self-driving cars and robot maids. Instead, we’ve seen the rise of artificial intelligence systems that can beat us in chess, analyze huge reams of text and compose sonnets. This has been one of the great surprises of the modern era: physical tasks that are easy for humans turn out to be very difficult for robots, while algorithms are increasingly able to mimic our intellect. Another surprise that has long perplexed researchers is those algorithms’ knack for their own, str

4Real-Video-V2: Feedforward Reconstruction for 4D Scene Generation

1Snap Inc. 2KAUST 4Real-Video-V2 is capable of computing a 4D spatio-temporal grid of video frames and 3D Gaussian particles for each time step using a feed-forward architecture. Its architecture has two main components, a 4D video diffusion model and a feedforward reconstruction model. Your browser does not support the video tag. This represents a major upgrade over 4Real-Video, introducing a new 4D video diffusion model architecture that adds no additional parameters to the base video model

I have reimplemented Stable Diffusion 3.5 from scratch in pure PyTorch

miniDiffusion miniDiffusion is a reimplementation of the Stable Diffusion 3.5 model in pure PyTorch with minimal dependencies. It's designed for educational, experimenting, and hacking purposes. It's made with the mindset of having the least amount of code necessary to recreate Stable Diffusion 3.5 from scratch, with only ~2800 spanning from VAE to DiT to the Train and Dataset scripts. -Files: The main Stable Diffusion model code is located in dit.py, dit_components.py, and attention.py. The d

Beyond GPT architecture: Why Google’s Diffusion approach could reshape LLM deployment

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Last month, along with a comprehensive suite of new AI tools and innovations, Google DeepMind unveiled Gemini Diffusion. This experimental research model uses a diffusion-based approach to generate text. Traditionally, large language models (LLMs) like GPT and Gemini itself have relied on autoregression, a step-by-step approach where each