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Meta AI
Artificial intelligence division of Meta Platforms From Wikipedia, the free encyclopedia
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Meta AI is a research division of Meta (formerly Facebook) that develops artificial intelligence and augmented reality technologies.
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History
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Meta AI was founded in 2013 as Facebook Artificial Intelligence Research (FAIR).[1][2] It has workspaces in Menlo Park, London, New York City, Paris, Seattle, Pittsburgh, Tel Aviv, and Montreal as of 2025.[3][4]
In 2016, FAIR partnered with Google, Amazon, IBM, and Microsoft in creating the Partnership on Artificial Intelligence to Benefit People and Society.
Meta AI was directed by Yann LeCun until 2018, when Jérôme Pesenti succeeded the role. Pesenti is formerly the CTO of IBM's big data group.[5]
FAIR's research includes self-supervised learning, generative adversarial networks, document classification and translation, and computer vision.[6] FAIR released Torch deep-learning modules as well as PyTorch in 2017, an open-source machine learning framework,[6] which was subsequently used in several deep learning technologies, such as Tesla's autopilot [7] and Uber's Pyro.[8] That same year, a pair of chatbots were falsely rumored[9] to be discontinued for developing a language that was unintelligible to humans.[10] FAIR clarified that the research had been shut down because they had accomplished their initial goal to understand how languages are generated by their models, rather than out of fear.[9]
FAIR was renamed Meta AI following the rebranding that changed Facebook, Inc. to Meta Platforms Inc.[11]
On October 1, 2025, Facebook announced "We will soon use your interactions with AI at Meta to personalize the content and ads you see".[12]
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Virtual assistant
Meta AI is also the name of the virtual assistant developed by the team, now integrated as a chatbot into Meta's social networking products.[13] It is also available as a subscription-based stand-alone app.[14][15]
The virtual assistant was pre-installed on the second generation of Ray-Ban Meta smartglasses, and can incorporate inputs from the glasses' cameras after an update.[16] It is also available on Quest 2 and newer HMDs.[17]
Since May 2024, the chatbot has summarized news from various outlets without linking directly to original articles, including in Canada, where news links are banned on its platforms. This use of news content without compensation and attribution has raised ethical and legal concerns, especially as Meta continues to reduce news visibility on its platforms.[18]
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Current research
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| This section possibly contains original research. cited articles are all original researches instead of e.g., reviews. (July 2025) |
Natural language processing and chatbot
Meta AI works on machines' ability to understand and generate natural language. The team also seeks to allow their chatbots to communicate multilingually.[19] This involves the generalization of natural language processing (NLP) technology to other languages, and the team actively works on unsupervised machine translation.[20][21]
Galactica
Galactica is a large language model (LLM) designed for generating scientific text. It was available for three days from 15 November 2022, before being withdrawn for generating racist and inaccurate content.[22][23]
Llama
LLaMA is a LLM released in February 2023, supporting 7B to 65B parameters.[24] Two of the three Llama 4 models, Scout and Maverick, were released on April 5, 2025, with the biggest model, Behemoth, still in training.[25]
Hardware
Meta used CPUs and in-house custom chips until 2022, when they switched to Nvidia GPUs. Several data centers were redesigned to accommodate the larger network bandwidth and cooling requirements.[26]
MTIA v1
Meta developed the training and inference accelerator, MTIA v1, specifically for their content recommendation workloads. It was fabricated on TSMC's 7 nm process technology and operates at a frequency of 800 MHz. The accelerator provides 51.2 TFLOPS at FP16 precision, with a thermal design power (TDP) of 25 W.[27]
References
External links
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