Sharing new research, models, and datasets from Meta FAIR Today, Meta FAIR is publicly releasing several new research artifacts in support of our goal of achieving advanced machine intelligence (AMI) while also supporting open science and reproducibility.The work we’re sharing today includes Meta Segment Anything 2.1 (SAM 2.1), an update to our popular Segment Anything Model 2 for images and video

Introducing research for the most advanced media foundation AI models. Our latest research breakthroughs demonstrate how you can use simple text inputs to produce custom videos and sounds, edit existing videos or transform your personal image into a unique video.

Introducing SAM 2: The next generation of Meta Segment Anything Model for videos and images Following up on the success of the Meta Segment Anything Model (SAM) for images, we’re releasing SAM 2, a unified model for real-time promptable object segmentation in images and videos that achieves state-of-the-art performance.In keeping with our approach to open science, we’re sharing the code and model

Meta is committed to openly accessible AI. Read Mark Zuckerberg’s letter detailing why open source is good for developers, good for Meta, and good for the world.Bringing open intelligence to all, our latest models expand context length to 128K, add support across eight languages, and include Llama 3.1 405B—the first frontier-level open source AI model.Llama 3.1 405B is in a class of its own, with

For more than a decade, Meta’s Fundamental AI Research (FAIR) team has focused on advancing the state of the art in AI through open research. As innovation in the field continues to move at a rapid pace, we believe that collaboration with the global AI community is more important than ever. Maintaining an open science approach and sharing our work with the community help us stay true to our goal o

Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model.Llama 3 models will soon be available on AWS, Databricks, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake, and with support from hardware platforms offered by AMD, AWS, Dell, Intel, NVIDIA, and Qualcomm.We’re dedicated to developing Llama 3

Meta AI’s latest image generation technology takes your creative ideas and transforms them into reality. Use Meta AI as your creative partner to spark inspiration, animate your creations and realize your wildest artistic visions. And now you can see yourself in a whole new light with imagine yourself (Beta, US only). Meta AI is an intelligent assistant built on Llama 3.1, our most advanced model y

Through new experiences in Meta AI, and enhanced capabilities in Llama 3.1, we're creating the next generation of AI to help you discover new possibilities and expand your world.

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Generative AI has brought about a new wave of innovation unlike we’ve ever seen before. With it, we have the ability to converse with conversational AIs, generate realistic imagery, and accurately summarize large corpora of documents, all from simple prompts. With over 100 million downloads of Llama models to date, a lot of this innovation is being fueled by open models. Collaboration on safety wi

Today, we are releasing Code Llama, a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity an

A significant step towards removing language barriers through expressive, fast and high-quality AI translation

The open source AI model you can fine-tune, distill and deploy anywhere. Our latest models are available in 8B, 70B, and 405B variants.

CM3leon is the first multimodal model trained with a recipe adapted from text-only language models, including a large-scale retrieval-augmented pre-training stage and a second multitask supervised fine-tuning (SFT) stage. This recipe is simple, produces a strong model, and also shows that tokenizer-based transformers can be trained as efficiently as existing generative diffusion-based models. CM3l

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Introducing speech-to-text, text-to-speech, and more for 1,100+ languages Equipping machines with the ability to recognize and produce speech can make information accessible to many more people, including those who rely entirely on voice to access information. However, producing good-quality machine learning models for these tasks requires large amounts of labeled data — in this case, many thousan