
WebLLM engine, a high-performance in-browser LLM inference engine, offers local GPU acceleration, fully OpenAI-compatible API, and built-in web workers support. It enables private, zero-setup LLM inference directly in web browsers. Depth Anything V2, a monocular depth estimation model, is released, providing robust and fine-grained depth predictions compared to V1, using synthetic images and large-scale pseudo-labels.

Depth Anything V2 ◼ Depth Anything V2 outshines V1 with crisper, sturdier depth predictions by using synthetic images, a beefed-up teacher model, and large-scale pseudo-labels. 📈 Plus, it's 10x faster than peers! A new benchmark is set for future research. 🛠️ #AI… https://t.co/ekqAWWDRoP
[CV] Depth Anything V2 L Yang, B Kang, Z Huang, Z Zhao... [HKU & TikTok] (2024) https://t.co/JCVBqcDkm3 - Depth Anything V2 produces much more robust and fine-grained depth predictions than V1. This is achieved by three key modifications: 1) Replacing all labeled real images… https://t.co/Jd9M9HwK0V
Depth Anything V2 just released, enabling real-time depth estimation directly in your browser with 🤗 Transformers.js and WebGPU acceleration! ⚡️ The smallest model is only ~50MB (@ fp16), making it perfect for on-device usage! 😍 Check out the demo (+ source code) 👇 https://t.co/WKVqrxztRy