Code Llama: Open Code Models Built from Llama
Code Llama adapts Llama-family models for code generation, infilling, and instruction-following, giving the open ecosystem stronger coding baselines.
Institution
Meta AI
Meta's AI research organization, known for open models, computer vision systems, and large-scale infrastructure.
Self-Supervised Learning · Meta AI
DINOv2: General Visual Features Without Labels
DINOv2 trains self-supervised vision models on curated large-scale data to produce robust features usable across many downstream tasks.
Segment Anything: Promptable Segmentation at Web Scale
SAM reframed image segmentation as a promptable foundation-model task, backed by a large model and the SA-1B mask dataset.
Llama 3: Meta Turns Open Weights Into a Full Model System
Llama 3 is not just a bigger open-weight model; it is Meta's attempt to package multilingual, coding, reasoning, tool use, and safety into a coherent public model family.
SAM 2: Segment Anything Moves From Images Into Video
SAM 2 extends promptable segmentation from still images to real-time video by adding streaming memory and a data engine built around user interaction.