Type a name, or just describe what you need. Results blend keyword and meaning-based search. 13 matches, each with an EU availability status.
Research · MIT
MIT research showing a frontier LLM can read and write another neural network's raw weights without gradient descent.
Research
Post-training method that refines feed-forward 3D reconstruction models (Pi3, DA3, VGGT) on unlabeled video.
Model · Microsoft
Microsoft AI's pre-trained foundation model with about 80B active parameters; post-training unfinished and not yet available.
Model
Training-free method that rescales attention across RoPE components to generate ultra-high-resolution images with diffusion transformers.
App · OpenAI
OpenAI confidential-computing option for running OpenAI models without OpenAI accessing or training on user content.
Library · Z.ai
Open-source LLM RL post-training framework connecting Megatron training with SGLang rollout, used for Z.ai's GLM models.
Research · Google
Google research training framework alternating wake and sleep phases for memory consolidation and self-generated practice.
Library · Allen Institute for AI
Ai2's open-source PyTorch library of building blocks and training scripts for OLMo language models, including MoE training.
Hardware · Google
Google's eighth-generation TPU for large-scale AI pre-training, scaling to 9,600 chips per superpod.
App · The Atlantic
Searchable Atlantic database showing which music and videos were used to train AI models such as Suno and Udio.
Library · Ostris
Open-source GUI and CLI training suite for fine-tuning image and video diffusion models, including LoRAs, on consumer GPUs.
Open-source repo where an AI agent autonomously edits and runs 5-minute nanochat LLM training experiments on one GPU.
Library · Lightricks
Official Lightricks package for training and fine-tuning LTX-2 video models, including LoRAs for characters, effects and styles.
