AI Model Training

FS-DFM Apple

The few-step discrete flow matching text generation model launched by Apple can achieve thousand-step quality with 8 steps of sampling.

ACE-Ego ACE-Ego

One brain, multiple types of embodied operation VLA model research project

Gemini Diffusion Google DeepMind

Experimental text diffusion model launched by Google DeepMind, non-autoregressive generation, iterative text refinement

Agent Lightning Microsoft

Microsoft's agent training framework uses reinforcement learning and other methods to allow Agents to continuously optimize from experience.

Gemma 4 12B Google

Google's open source coder-less unified architecture multi-modal large model, the local running performance of 12B parameters exceeds the previous generation 27B

Groq Groq

Self-developed LPU hardware-driven ultra-high-speed AI inference platform, developer API can reach up to 1000 tokens/second at the fastest

Aim Stack Aim

Open source ML experiment tracking and visualization platform for teams focused on data sovereignty

Arize AI Arize

AI Agent observability, evaluation and continuous learning platform

Cerebras Inference Cerebras

Ultra-fast large model inference API and dedicated endpoint services for developers and enterprises

Cog (Replicate) Cog

An open source containerization tool produced by Replicate that packages ML models into standardized Docker images

Cosmos 3 NVIDIA

An open Physical AI world base model that integrates visual reasoning, world generation and action generation into the same model stack

DreamGen NVIDIA

NVIDIA Robot Learning Research Project Using Video World Models to Generate Synthetic Training Data