Releases

Meta and EssilorLuxottica extended their long-term partnership to develop multiple generations of smart-eyewear products.

Meta launched AI Studio for creating, sharing and discovering custom AI characters.

Meta released SAM 2 for promptable object segmentation in both images and video.

Meta released a classifier for detecting prompt injection and jailbreak attempts.

Meta released a multilingual Llama 3.1-based safeguard model.

Meta released its 405B-parameter open-weights frontier model.

Meta released Llama 3.1 70B with a 128K context window and multilingual support.

Meta released Llama 3.1 8B with a 128K context window and multilingual support.

Meta introduced a research pipeline for generating high-quality 3D assets with text and texture control.

EvolutionaryScale, founded by former Meta researchers, released ESM-3, a generative protein model originating from Meta's ESM program.

Meta introduced an early-fusion multimodal foundation model capable of generating and reasoning over interleaved text and images.

Meta and World Resources Institute released global high-resolution canopy-height maps built with DINOv2.

Meta released the Llama 3-based update to its open safeguard model.

Meta released the 8B Llama 3 pretrained and instruction-tuned models.

Meta released the 70B Llama 3 pretrained and instruction-tuned models.

Meta introduced a second-generation MTIA accelerator with increased performance and memory capacity.

Meta released V-JEPA, a video model trained by predicting missing representations rather than pixels.

Meta released a 70-billion-parameter Code Llama model for code generation and instruction following.

Meta introduced Audiobox, a foundation research model for generating and editing speech, voices and sound effects.

Meta released Llama Guard, a safeguard model for classifying conversational AI inputs and outputs.

Meta launched Purple Llama, an open trust-and-safety initiative for generative AI.

Meta launched a standalone web experience for generating images with Emu.

Meta released a low-latency streaming speech translation research model.

Meta released a research model that preserves vocal style and prosody in translated speech.

Meta released a more capable second version of SeamlessM4T.

Meta published Emu Edit for instruction-based image editing with precise task control.

Meta published Emu Video, a factorized text-to-video generation method.

Meta introduced ExecuTorch, an open-source framework for efficient on-device PyTorch inference.

Meta and EssilorLuxottica launched the second-generation Ray-Ban Meta smart glasses with voice and AI capabilities.

Meta introduced Emu as the image-generation technology powering new generative AI experiences.

Meta introduced Meta AI, a conversational assistant for WhatsApp, Messenger and Instagram.

Meta released code-specialized Llama models for generation, completion and instruction following.

Meta released SeamlessM4T for multilingual speech-to-speech, speech-to-text, text-to-speech and text translation.

Meta released AudioCraft with MusicGen, AudioGen and EnCodec components for generative audio research.

Meta released Llama 2 models in 7B, 13B and 70B sizes for research and commercial use.

Meta selected Microsoft as a preferred partner for distributing Llama 2 through Azure and Windows.

Meta introduced Voicebox, a generative speech model capable of editing, sampling and cross-lingual speech generation.

Meta released MMS speech-recognition and synthesis models covering more than 1,100 languages.

Meta unveiled its first in-house AI inference accelerator, designed initially for recommendation workloads.

Meta released ImageBind, a joint embedding model spanning images, text, audio, depth, thermal and IMU data.

Meta released DINOv2, a self-supervised vision foundation model and pretrained visual features.

Meta released SAM, its promptable image-segmentation model, together with model weights and the SA-1B dataset.

Meta released the first LLaMA model family for approved research use, spanning 7B to 65B parameters.

Meta withdrew the public Galactica demo after criticism over unreliable and misleading generated scientific content.

Meta AI released a research demo of Galactica, a large language model trained on scientific knowledge.

Meta AI published hundreds of millions of predicted metagenomic protein structures with ESMFold.

Meta released EnCodec, a neural audio codec for high-fidelity compression.

Meta open-sourced AITemplate, a Python framework that transforms neural networks into optimized GPU code.

Meta presented Make-A-Video, a system for generating short videos from text prompts.

Meta moved PyTorch into an independent foundation hosted by the Linux Foundation.