AI at Meta (@AIatMeta) / X

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AI at Meta

2,609 posts

AI at Meta

@AIatMeta

Together with the AI community, we are pushing the boundaries of what’s possible through open science to create a more connected world.

ai.meta.com

August 2018-এ যোগদান করেছেন

পিন করা হয়েছে
AI at Meta
@AIatMeta
৮ এপ্রি
Introducing 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. Muse Spark is available today at
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AI at Meta
@AIatMeta
৫ এপ্রি, ২০২৫
Today is the start of a new era of natively multimodal AI innovation. Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality. Llama 4 Scout • 17B-active-parameter model
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AI at Meta
@AIatMeta
২৯ সেপ, ২০২২
We’re pleased to introduce Make-A-Video, our latest in #GenerativeAI research! With just a few words, this state-of-the-art AI system generates high-quality videos from text prompts. Have an idea you want to see? Reply w/ your prompt using #MetaAI and we’ll share more results.
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AI at Meta
@AIatMeta
২৯ জুল, ২০২৪
Introducing Meta Segment Anything Model 2 (SAM 2) — the first unified model for real-time, promptable object segmentation in images & videos. SAM 2 is available today under Apache 2.0 so that anyone can use it to build their own experiences Details ➡️ go.fb.me/p749s5
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AI at Meta
@AIatMeta
৪ অক্টো, ২০২৪
🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in
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AI at Meta
@AIatMeta
৩০ জুল, ২০২৫
Today Mark shared Meta’s vision for the future of personal superintelligence for everyone. Read his full letter here: meta.com/superintellige…
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AI at Meta
@AIatMeta
৫ এপ্রি, ২০২৩
Today we're releasing the Segment Anything Model (SAM) — a step toward the first foundation model for image segmentation. SAM is capable of one-click segmentation of any object from any photo or video + zero-shot transfer to other segmentation tasks ➡️ bit.ly/433YuBI
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AI at Meta
@AIatMeta
১৮ এপ্রি, ২০২৪
Introducing Meta Llama 3: the most capable openly available LLM to date. Today we’re releasing 8B & 70B models that deliver on new capabilities such as improved reasoning and set a new state-of-the-art for models of their sizes. Today's release includes the first two Llama 3
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AI at Meta
@AIatMeta
২৩ জুল, ২০২৪
Starting today, open source is leading the way. Introducing Llama 3.1: Our most capable models yet. Today we’re releasing a collection of new Llama 3.1 models including our long awaited 405B. These models deliver improved reasoning capabilities, a larger 128K token context
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AI at Meta
@AIatMeta
২৯ জানু, ২০২৪
Today we’re releasing Code Llama 70B: a new, more performant version of our LLM for code generation — available under the same license as previous Code Llama models. Download the models ➡️ bit.ly/3Oil6bQ • CodeLlama-70B • CodeLlama-70B-Python • CodeLlama-70B-Instruct
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AI at Meta
@AIatMeta
১৪ আগ, ২০২৫
Introducing DINOv3: a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense
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AI at Meta
@AIatMeta
২৭ ফেব, ২০২৫
Introducing Aria Gen 2, next generation glasses that we hope will enable researchers from industry and academia to unlock new work in machine perception, contextual AI, robotics and more. Aria Gen 2 details + sign up for availability updates ➡️ go.fb.me/8rku3b
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AI at Meta
@AIatMeta
১৯ নভে, ২০২৫
Introducing SAM 3D, the newest addition to the SAM collection, bringing common sense 3D understanding of everyday images. SAM 3D includes two models: 🛋️ SAM 3D Objects for object and scene reconstruction 🧑‍🤝‍🧑 SAM 3D Body for human pose and shape estimation Both models achieve
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AI at Meta
@AIatMeta
১৭ এপ্রি, ২০২৩
Announced by Mark Zuckerberg this morning — today we're releasing DINOv2, the first method for training computer vision models that uses self-supervised learning to achieve results matching or exceeding industry standards. More on this new work ➡️ bit.ly/3GQnIKf
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