Pika H3 Flex: video and audio generation inference
Idol: a single image to 3D Gaussians. Inference SDK and demo.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols IβIV) β’ Harvard CS249r | https://mlsysbook.ai
12 Weeks, 24 Lessons, AI for All!
a systemone proxy using embeddings that distills a teacher model
Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3Γ lower latency than vLLM in FP8 and bit-identical answers.
SANA & Sol: Efficient Generative Models and Full-Stack Training & Inference Engines for Image, Video, and World Modeling
ASPIRE: Agentic /Skills Discovery for Robotics
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
Speedrun for pretraining without backpropagation
Official Project Page for Recurrent Looped Transformer (RLT) (https://arxiv.org/abs/2610.07591)
NVIDIA FastGen: Fast Generation from Diffusion Models
Lux is an open-source framework for building multi-agent, swarmed intelligence built by Spectral Labs. With Beams, Prisms, Lenses, and Signals, it orchestrates AI-driven workflows to create truly autonomous organizations.