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The Llama 4 herd
We’re introducing Llama 4 Scout and Llama 4 Maverick, the first open-weight natively multimodal models with unprecedented context support and our first built using a mixture-of-experts (MoE) architecture.
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Visit ai.meta.com → On Hacker News Aug 2023 – Jul 2026
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Code Llama, a state-of-the-art large language model for coding
Code Llama, which is built on top of Llama 2, is free for research and commercial use.
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Llama 3.2: Revolutionizing edge AI and vision with open, customizable models
Today, we’re releasing Llama 3.2, which includes small and medium-sized vision LLMs, and lightweight, text-only models that fit onto edge and mobile devices.
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Open-sourcing AudioCraft: Generative AI for audio
AudioCraft is a simple framework that generates high-quality, realistic audio and music from text-based user inputs after training on raw audio signals as opposed to MIDI or piano rolls.
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Quantized Llama models with increased speed and a reduced memory footprint
As our first quantized models in this Llama category, these instruction-tuned models retain the quality and safety of the original 1B and 3B models, while achieving 2-4x speedup.
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Muse Spark 1.1
Today, we’re excited to introduce Muse Spark 1.1, the latest model from Meta Superintelligence Labs and a significant upgrade from Muse Spark. Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with major gains in tool and computer use, coding, and multimodal understanding.
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Muse Spark: Scaling towards personal superintelligence
Today, we’re excited to introduce Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.
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Byte Latent Transformer: Patches Scale Better Than Tokens
We introduce the Byte Latent Transformer (BLT), a new byte-level LLM architecture that, for the first time, matches tokenization-based LLM performance at...
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Purple Llama: Towards open trust and safety in generative AI
Meta AI announces Purple Llama, a project for open trust and safety in generative AI, with tools for cybersecurity and input/output filtering.
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Sharing new research, models, and datasets from Meta FAIR
Meta FAIR is releasing new research artifacts that highlight our recent innovations in developing agents, robustness and safety, and architectures that facilitate machine learning.
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V-JEPA 2 world model and new benchmarks for physical reasoning
We’re excited to share V-JEPA 2, the first world model trained on video that enables state-of-the-art understanding and prediction, as well as zero-shot planning and robot control in new environments.
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Audiobox: Meta's new foundation research model for audio generation
Audiobox is Meta’s new foundation research model for audio generation.
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Sharing new research, models, and datasets from Meta FAIR
Meta FAIR is releasing several new research artifacts. Our hope is that the research community can use them to innovate, explore, and discover new ways to apply AI at scale.
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Everything we announced at our first LlamaCon
Here’s a look at what we announced at LlamaCon and how you can get started with our newest releases.
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Emu Video and Emu Edit, our latest generative AI research milestones
Today, we’re announcing new research into controlled image editing based solely on text instructions and a method for text-to-video generation based on diffusion models.
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From brain waves to words: a new path to communication without surgery
Last year, we introduced Brain2Qwerty v1, research that uses AI to decode brain activity into text without any surgical implant. Now we're sharing the next step: Brain2Qwerty v2, the highest-performing end-to-end pipeline capable of real-time sentence decoding from non-invasive brain recordings, approaching levels of…
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Introducing the Llama Startup Program
We’re excited to announce the Llama Startup Program, a new initiative to empower early stage startups to innovate and build generative AI applications with Llama.
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Meta MTIA v2 – Meta Training and Inference Accelerator
We are sharing details of our next generation chip in our Meta Training and Inference Accelerator (MTIA) family. MTIA is a long-term bet to provide the most efficient architecture for Meta’s unique workloads.
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Meta Segment Anything Model 3
We’ve seen incredible adoption of SAM 3 over the last few months, and during that time, we’ve been working behind the scenes on updates to improve video processing efficiency. Today, we’re pleased to introduce SAM 3.1.
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Self-supervised learning: The dark matter of intelligence (2021)
How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. Here's why self-supervised learning is one of the most promising ways to make significant progress in AI.
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Omnilingual ASR: Advancing automatic speech recognition for 1600 languages
We’re introducing Meta Omnilingual Automatic Speech Recognition, a suite of models providing automatic speech recognition capabilities for over 1,600 languages.
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Update on Llama adoption
Llama models are approaching 350 million downloads to date, and they were downloaded more than 20 million times in the last month alone, making Llama the leading open source model family.
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Meta's Omnilingual MT for 1,600 Languages
Advances made through No Language Left Behind (NLLB) have demonstrated that high-quality machine translation (MT) scale to 200 languages. Later Large...
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SceneScript, a novel approach for 3D scene reconstruction
Today, we’re introducing SceneScript, a novel method for reconstructing environments and representing the layout of physical spaces.
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The Llama Ecosystem: Past, Present, and Future
The latest updates on the Llama ecosystem coming out of Meta Connect 2023
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Introducing Meta Llama 3: The most capable openly available LLM to date
Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. In the coming months, we expect to share new capabilities, additional model sizes, and more.