AI Habitat
AI Habitat (usually just Habitat) is an open-source simulation platform for embodied AI research, developed primarily by Meta AI (the group then known as Facebook AI Research, or FAIR) together with academic…
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AI Habitat (usually just Habitat) is an open-source simulation platform for embodied AI research, developed primarily by Meta AI (the group then known as Facebook AI Research, or FAIR) together with academic…
AIRA (AI Research Agent) is the name Meta FAIR uses for its line of autonomous machine learning research agents and for the software that runs them.
Atlas is a retrieval-augmented language model developed by researchers at Meta AI (the group then known as Facebook AI Research, or FAIR).
AudioCraft is an open-source generative-audio library released by Meta AI (Fundamental AI Research, FAIR) on August 2, 2023 that generates high-quality music and sound from text prompts using a single…
Audiobox is a foundation research model for audio generation developed by Meta AI and its Fundamental AI Research (FAIR) group.
BART (an acronym for Bidirectional and Auto-Regressive Transformers) is a transformer-based encoder-decoder language model introduced by Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman…
BlenderBot is a line of open-domain conversational agents built by Facebook AI Research (FAIR), the lab now known as Meta AI.
The Byte Latent Transformer (BLT) is a tokenizer-free large language model architecture introduced by researchers at Meta AI's Fundamental AI Research (FAIR) group in December 2024.
CICERO is an AI agent built by Meta AI's Fundamental AI Research (FAIR) division that reached human-level performance in the board game Diplomacy.
CM3leon (pronounced "chameleon") is a multimodal generative model from Meta AI, introduced in July 2023, that handles both text-to-image and image-to-text generation in a single architecture.
Catalina is a high-power, liquid-cooled rack system designed by Meta for training and serving large AI models.
Chameleon is a family of early-fusion, token-based mixed-modal foundation models from Meta AI's Fundamental AI Research (FAIR) group that represents both images and text as discrete tokens in a single unified…
Code Llama is a family of open-weight large language models specialized for code generation and understanding, released by Meta AI on August 24, 2023.
DINO (self-DIstillation with NO labels) is a family of self-supervised learning methods for computer vision from Meta AI that trains Vision Transformers (ViTs) on unlabeled images and produces general-purpose…
DINOv2 is a family of self-supervised Vision Transformer models released by Meta AI Research in April 2023 that produces general-purpose visual features transferring to many downstream tasks without…
DINOv3 is a family of self-supervised computer vision foundation models released by Meta AI in August 2025.
Detectron2 is an open-source software library for object detection and image segmentation, built on PyTorch and developed by Facebook AI Research (FAIR), the research group now part of Meta AI.
Droidlet is an open-source platform from Facebook AI Research (now Meta AI) for building embodied AI agents.
ESMFold is a protein structure prediction model developed by the Meta AI Fundamental AI Research (FAIR) Protein Team.
Ego-Exo4D is a large-scale, multimodal, multiview video dataset and benchmark suite for computer vision research on skilled human activity, a central resource in egocentric vision.
Ego4D is a large-scale egocentric (first-person) video dataset and benchmark suite for computer vision, assembled by Meta AI (then Facebook AI Research) together with a consortium of 13 universities and labs…
Emu is a text-to-image generation foundation model developed by Meta AI and unveiled at the Meta Connect conference in September 2023.
Emu Edit is an instruction-based image editing model from Meta AI, announced on November 16, 2023 alongside the text-to-video model Emu Video.
Emu Video is a text-to-video generation model from Meta AI, announced on November 16, 2023, that creates short clips by first turning a text prompt into an image and then generating a video conditioned on both…
EnCodec is a real-time neural audio codec developed by Meta AI's FAIR (Fundamental AI Research) team that compresses speech, ambient sound, and music into a compact stream of discrete tokens
Galactica is a large language model for science, built by the Papers with Code team at Meta AI and released on 15 November 2022.
Grand Teton is an open GPU hardware platform designed by Meta for training and running large AI models.
HalluLens is a large language model hallucination benchmark introduced by researchers at Meta AI's Fundamental AI Research (FAIR) lab, together with collaborators at the Hong Kong University of Science and…
Hiera is a hierarchical vision transformer from Meta AI (FAIR), introduced in the paper "Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles" presented as an oral at the International…
Hyperion is an artificial intelligence data center campus built by Meta in Richland Parish, in northeast Louisiana, United States.
I-JEPA (Image-based Joint-Embedding Predictive Architecture) is a self-supervised learning method for computer vision developed by Meta AI.
ImageBind is a multimodal model from Meta AI (its Fundamental AI Research lab) that learns a single joint embedding space across six different modalities: images and video, text, audio, depth, thermal…
Joelle Pineau (born 1974) is a Canadian computer scientist who is the first Chief AI Officer of Cohere, a professor and William Dawson Scholar at McGill University, and a core academic member of Mila.
Joint Embedding Predictive Architecture (JEPA) is a family of self-supervised, non-generative neural network architectures proposed by Yann LeCun in his June 2022 position paper A Path Towards Autonomous…
Kadrey v. Meta Platforms, Inc. is a putative class action lawsuit filed in 2023 by a group of book authors against Meta Platforms, Inc., alleging that Meta infringed their copyrights by training its LLaMA…
LIMA, short for "Less Is More for Alignment," is a 2023 research paper by Chunting Zhou and colleagues at Meta AI, Carnegie Mellon University, the University of Southern California, and Tel Aviv University…
The Meta Large Language Model Compiler, usually shortened to LLM Compiler, is a family of pre-trained large language model models built by Meta AI for code and compiler optimization tasks.
LLaMA is the original name of a family of large language models developed by Meta AI.
The Llama model card is the official documentation that Meta AI ships with each release of the Llama family of large language models.
A Large Concept Model (LCM) is a research approach to language modeling, introduced by Meta AI's Fundamental AI Research (FAIR) group in December 2024
Llama 2 is a family of open-weight large language models developed by Meta AI. Meta released pretrained and dialogue-tuned checkpoints with 7 billion, 13 billion, and 70 billion parameters on July 18, 2023.
Llama 3 is a family of open-weight large language models developed by Meta. Meta released the original Llama 3 checkpoints on April 18, 2024, in 8-billion-parameter and 70-billion-parameter sizes.
Llama 3.1 is a family of open-weight large language models released by Meta on July 23, 2024, in three sizes, 8 billion, 70 billion, and 405 billion parameters, each shipped in both a pre-trained base form and…
Llama 3.2 is a family of four open-weight large language models released by Meta on September 25, 2024, comprising lightweight 1 billion and 3 billion parameter text-only models for on-device AI and the 11…
Llama 3.2 Vision is the set of multimodal (image-plus-text) models in Meta's Llama 3.2 family, released on September 25, 2024 at the Meta Connect 2024 developer conference.
Llama 3.3 is an instruction-tuned, text-only large language model with 70 billion parameters that Meta released on December 6, 2024
Llama 4 (Large Language Model Meta AI 4) is a family of natively multimodal large language models developed by Meta and released on April 5, 2025, the first generation of the Llama series to use a mixture of…
Llama 4 Behemoth is the announced but never publicly released flagship model in the Llama 4 family from Meta AI.
Llama 4 Scout and Llama 4 Maverick are open-weight, natively multimodal AI large language models developed by Meta and released on April 5, 2025.
The Llama API is Meta's first-party hosted cloud service for running Llama models.
Llama Stack is an open standardized framework created by Meta for building generative AI applications.
MEGABYTE is a transformer architecture for autoregressive modeling of very long sequences directly at the byte level, introduced by researchers at Meta AI (FAIR) in May 2023.
MTIA (Meta Training and Inference Accelerator) is a family of custom silicon chips that Meta designs for use in its own data centers rather than for sale.
Make-A-Scene is a text-to-image generation model published by Meta AI (then Meta AI Research) in 2022.
Make-A-Video is a text-to-video generation system from Meta AI, announced on September 29, 2022
Massively Multilingual Speech (MMS) is an open-source speech project released by Meta AI in May 2023 that performs speech recognition and text-to-speech synthesis in 1,107 languages and spoken language…
Meta AI Studio (often shortened to AI Studio) is a free platform from Meta that lets anyone build customizable AI characters and personas without writing code, then chat with them inside Instagram, Messenger…
Meta Compute is a top-level organization that Meta created in January 2026 to plan, build, and run the gigawatt-scale data center capacity behind its push toward artificial general intelligence and what the…
Meta FAIR (Fundamental AI Research), originally Facebook AI Research, is the open, fundamental research laboratory of Meta, founded in December 2013 with Yann LeCun as its first director.
Meta Glasses are a line of camera-equipped AI glasses that Meta introduced on 2026-06-23, built in partnership with the eyewear group EssilorLuxottica but sold under Meta's own name instead of Ray-Ban's or…