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Meta 3D Gen | Research - AI at Meta

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ai.meta.com 概要We introduce Meta 3D Gen (3DGen), a new state-of-the-art, fast pipeline for text-to-3D asset generation. 3DGen offers 3D asset creation with high prompt fidelity and high-quality 3D shapes and textures in under a minute. It supports physically-based rendering (PBR), necessary for 3D asset relighting in real-world applications. Additionally, 3DGen supports generative retexturing of previously gen ● テクノロジー ●2024/07/03 12:38 ●AI

Sharing new research, models, and datasets from Meta FAIR

4users

ai.meta.com 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 ● テクノロジー ●2024/06/19 15:53 ●Meta ●機械学習

Introducing Meta Llama 3: The most capable openly available LLM to date

17users

ai.meta.com 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 ● テクノロジー ●2024/04/19 07:38 ●LLM ●Meta ●AI ●人工知能 ●*あとで読む ●あとで読む

Meta AI

3users

ai.meta.com Expand your knowledge and capabilities – get answers to your questions, get things done, create and connect with Meta AI. Built on Meta Llama 3, our most advanced model to date, Meta AI is an intelligent assistant that is capable of complex reasoning, following instructions, visualizing ideas, and solving nuanced problems. Now available within our family of apps and at meta.ai, you can learn more, ● テクノロジー ●2024/04/19 01:13

Our next generation Meta Training and Inference Accelerator

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ai.meta.com Our next-generation Meta Training and Inference Accelerator April 10, 2024 · 8 min read We’re sharing details about the next generation of the Meta Training and Inference Accelerator (MTIA), our family of custom-made chips designed for Meta’s AI workloads.This latest version shows significant performance improvements over MTIA v1 and helps power our ranking and recommendation ads models.MTIA is pa ● テクノロジー ●2024/04/11 02:42 ●meta ●人工知能

Introducing SceneScript, a novel approach for 3D scene reconstruction

3users

ai.meta.com Introducing 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.SceneScript was trained in simulation using the Aria Synthetic Environments dataset, which is available for academic use. Imagine a pair of stylish, lightweight glasses that combined contextualized ● テクノロジー ●2024/03/24 01:31 ●人工知能

Announcing Purple Llama: Towards open trust and safety in the new world of generative AI

3users

ai.meta.com 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 ● テクノロジー ●2023/12/08 13:52 ●人工知能 ●セキュリティ

Stable Signature: A new method for watermarking images created by open source generative AI

3users

ai.meta.com At FAIR, we’re excited about driving continued exploratory research in generative AI, but we also want to make sure we do so in a manner that prioritizes safety and responsibility. Today, together with Inria, we are excited to share a research paper and code that details Stable Signature, an invisible watermarking technique we created to distinguish when an image is created by an open source gener ● テクノロジー ●2023/10/08 19:27 ●人工知能

Introducing Code Llama, a state-of-the-art large language model for coding

20users

ai.meta.com 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 ● テクノロジー ●2023/08/24 23:17 ●meta ●llama ●Python ●機械学習 ●あとで読む ●AI

Introducing a foundational multimodal model for speech translation

11users

ai.meta.com Today, we’re introducing SeamlessM4T, a foundational multilingual and multitask model that seamlessly translates and transcribes across speech and text. SeamlessM4T supports: Automatic speech recognition for nearly 100 languagesSpeech-to-text translation for nearly 100 input and output languagesSpeech-to-speech translation, supporting nearly 100 input languages and 35 (+ English) output languagesT ● テクノロジー ●2023/08/23 15:57 ●人工知能 ●AI ●あとで読む

AudioCraft: A simple one-stop shop for audio modeling

18users

ai.meta.com AudioCraft consists of three models: MusicGen, AudioGen, and EnCodec. MusicGen, which was trained with Meta-owned and specifically licensed music, generates music from text-based user inputs, while AudioGen, which was trained on public sound effects, generates audio from text-based user inputs. Today, we’re excited to release an improved version of our EnCodec decoder, which allows for higher qual ● テクノロジー ●2023/08/03 02:06 ●AI ●meta ●オーディオ ●音楽 ●music ●人工知能

Llama 2: Open Foundation and Fine-Tuned Chat Models | Research - AI at Meta

3users

ai.meta.com 概要In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. Our models outperform open-source chat models on most benchmarks we tested, and based on our human evaluations for helpfulness and safety, may ● テクノロジー ●2023/07/19 04:54

Llama

168 users

ai.meta.com Llama is the next generation of our open source large language model, available for free for research and commercial use. ● テクノロジー ●2023/07/19 01:06 ●AI ●LLM ●あとで読む ●meta ●llama ●GPT ●自然言語処理 ●機械学習 ●人工知能

Introducing CM3leon, a more efficient, state-of-the-art generative model for text and images

4users

ai.meta.com 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 ● テクノロジー ●2023/07/15 17:29 ●人工知能

Introducing 22 system cards that explain how AI powers experiences on Facebook and Instagram

3users

ai.meta.com Introducing 22 system cards that explain how AI powers experiences on Facebook and Instagram We use AI to help the billions of people who use our services every day discover content that they will hopefully find useful and interesting–whether it’s a new creator to follow on Instagram, or a post they may enjoy on Facebook. Our goal in having these systems is to make sure people see content that the ● テクノロジー ●2023/07/03 17:48 ●人工知能 ●あとで読む

Introducing Voicebox: The first generative AI model for speech to generalize across tasks with state-of-the-art performance

11users

ai.meta.com Like generative systems for images and text, Voicebox creates outputs in a vast variety of styles, and it can create outputs from scratch as well as modify a sample it’s given. But instead of creating a picture or a passage of text, Voicebox produces high-quality audio clips. The model can synthesize speech across six languages, as well as perform noise removal, content editing, style conversion, ● テクノロジー ●2023/06/17 11:06 ●人工知能

The first AI model based on Yann LeCun’s vision for more human-like AI

16users

ai.meta.com Our work on I-JEPA (and Joint Embedding Predictive Architecture (JEPA) models more generally) is grounded in the fact that humans learn an enormous amount of background knowledge about the world just by passively observing it. It has been hypothesized that this common sense information is key to enable intelligent behavior such as sample-efficient acquisition of new concepts, grounding, and planni ● テクノロジー ●2023/06/14 16:39 ●人工知能 ●機械学習 ●AI

Introducing speech-to-text, text-to-speech, and more for 1,100+ languages

20users

ai.meta.com 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 ● テクノロジー ●2023/05/23 08:43 ●Meta ●機械学習 ●人工知能 ●AI

MTIA v1: Meta’s first-generation AI inference accelerator

3users

ai.meta.com HardwareMTIA v1: Meta’s first-generation AI inference acceleratorMay 18, 2023 · 8 min read AI workloads are ubiquitous at Meta — forming the basis for a wide range of use cases, including content understanding, Feeds, generative AI, and ads ranking. These workloads run on PyTorch with first-class Python integration, eager-mode development, and the simplicity of APIs. Deep learning recommendation m ● テクノロジー ●2023/05/19 17:16

ImageBind: Holistic AI learning across six modalities

3users

ai.meta.com When humans absorb information from the world, we innately use multiple senses, such as seeing a busy street and hearing the sounds of car engines. Today, we’re introducing an approach that brings machines one step closer to humans’ ability to learn simultaneously, holistically, and directly from many different forms of information — without the need for explicit supervision (the process of organi ● テクノロジー ●2023/05/10 09:47 ●AI

Introducing Segment Anything: Working toward the first foundation model for image segmentation

7users

ai.meta.com Segment Anything’s promptable design enables flexible integration with other systems. SAM could receive input prompts, such as a user’s gaze from an AR/VR headset, like Project Aria. SAM: A generalized approach to segmentation Previously, to solve any kind of segmentation problem, there were two classes of approaches. The first, interactive segmentation, allowed for segmenting any class of object ● 世の中 ●2023/04/06 01:44

How Meta measures the management of its AI ecosystem

4users

ai.meta.com At Meta, we have developed measurement processes for specific metrics about AI systems that can be used to make managing models more effective and efficient, and we’ve tested these processes across a diverse ecosystem of tools and systems. We believe these techniques can be applied broadly in other organizations managing AI ecosystems, so we are sharing them here. AI development ecosystems are inc ● テクノロジー ●2023/03/29 17:57 ●機械学習

Introducing LLaMA: A foundational, 65-billion-parameter language model

4users

ai.meta.com Introducing LLaMA: A foundational, 65-billion-parameter large language model UPDATE: We just launched Llama 2 - for more information on the latest see our blog post on Llama 2. As part of Meta’s commitment to open science, today we are publicly releasing LLaMA (Large Language Model Meta AI), a state-of-the-art foundational large language model designed to help researchers advance their work in thi ● テクノロジー ●2023/02/25 13:11

Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text

5users

ai.meta.com Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text Many recent breakthroughs in AI have been powered by self-supervised learning, which enables machines to learn without relying on labeled data. But current algorithms have several significant limitations, often including being specialized for a single modality (such as images or text) and requiring lots of computat ● テクノロジー ●2022/12/14 14:13 ●AI ●あとで読む

Using AI to compress audio files for quick and easy sharing

26users

ai.meta.com Compression is an important part of the internet today, because it enables people to easily share high-quality photos, listen to audio messages, stream their favorite shows, and so much more. Even when using today’s state-of-the-art techniques, enjoying these rich multimedia experiences requires a speedy internet connection and plenty of storage space. For current and future experiences — like the ● テクノロジー ●2022/10/26 22:49 ●audio ●AI ●music ●あとで読む

A new AI-powered speech translation system for Hokkien pioneers a new approach for a primarily oral language

5users

ai.meta.com Meta’s new AI-powered speech translation system for Hokkien pioneers a new approach for an unwritten language Until now, AI translation has mainly focused on written languages. Yet nearly half of the world’s 7,000+ living languages are primarily oral and do not have a standard or widely used writing system. This makes it impossible to build machine translation tools using standard techniques, whic ● テクノロジー ●2022/10/20 14:52 ●台湾 ●人工知能 ●facebook ●技術

AITemplate: Unified inference engine on GPUs from NVIDIA and AMD

3users

ai.meta.com Faster, more flexible inference on GPUs using AITemplate, a revolutionary new inference engine GPUs play an important role in the delivery of the compute needed for deploying AI models, especially for large-scale pretrained models in computer vision, natural language processing, and multimodal learning. Currently, AI practitioners have very limited flexibility when choosing a high-performance GPU ● テクノロジー ●2022/10/04 02:43 ●機械学習 ●library

Announcing the PyTorch Foundation: A new era for the cutting-edge AI framework

12users

ai.meta.com Announcing the PyTorch Foundation: A new era for the cutting-edge AI framework To accelerate progress in AI, PyTorch is moving to a new, independent PyTorch Foundation, under the Linux Foundation umbrella. The project will join the Linux Foundation with a diverse governing board composed of representatives from AMD, Amazon Web Services, Google Cloud, Meta, Microsoft Azure, and Nvidia, with the int ● テクノロジー ●2022/09/13 07:22 ●PyTorch ●Python ●人工知能 ●techfeed ●プログラミング ●あとで読む

Using AI to decode speech from brain activity

3users

ai.meta.com Every year, more than 69 million people around the world suffer traumatic brain injury, which leaves many of them unable to communicate through speech, typing, or gestures. These people’s lives could dramatically improve if researchers developed a technology to decode language directly from noninvasive brain recordings. Today, we’re sharing research that takes a step toward this goal. We’ve develo ● テクノロジー ●2022/09/02 00:02 ●人工知能 ●機械学習 ●AI 次のページ

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﹃AI at Meta﹄

Meta 3D Gen | Research - AI at Meta

Sharing new research, models, and datasets from Meta FAIR

Introducing Meta Llama 3: The most capable openly available LLM to date

Meta AI

Our next generation Meta Training and Inference Accelerator

Introducing SceneScript, a novel approach for 3D scene reconstruction

Announcing Purple Llama: Towards open trust and safety in the new world of generative AI

Stable Signature: A new method for watermarking images created by open source generative AI

Introducing Code Llama, a state-of-the-art large language model for coding

Introducing a foundational multimodal model for speech translation

AudioCraft: A simple one-stop shop for audio modeling

Llama 2: Open Foundation and Fine-Tuned Chat Models | Research - AI at Meta

Llama

Introducing CM3leon, a more efficient, state-of-the-art generative model for text and images

Introducing 22 system cards that explain how AI powers experiences on Facebook and Instagram

Introducing Voicebox: The first generative AI model for speech to generalize across tasks with state-of-the-art performance

The first AI model based on Yann LeCun’s vision for more human-like AI

Introducing speech-to-text, text-to-speech, and more for 1,100+ languages

MTIA v1: Meta’s first-generation AI inference accelerator

ImageBind: Holistic AI learning across six modalities

Introducing Segment Anything: Working toward the first foundation model for image segmentation

How Meta measures the management of its AI ecosystem

Introducing LLaMA: A foundational, 65-billion-parameter language model

Data2vec 2.0: Highly efficient self-supervised learning for vision, speech and text

Using AI to compress audio files for quick and easy sharing

A new AI-powered speech translation system for Hokkien pioneers a new approach for a primarily oral language

AITemplate: Unified inference engine on GPUs from NVIDIA and AMD

Announcing the PyTorch Foundation: A new era for the cutting-edge AI framework

Using AI to decode speech from brain activity

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