Open source AI

Creating a positive future by making innovation available to all and enabling advancements that can enhance our lives and spur economic growth.

Open source AI provides tools for more people to build awesome things and expand our horizons.

Think of it like a community garden, where anyone can plant, grow and harvest fruits and vegetables. The garden space is provided – just like how Meta provides the AI model. Anyone can choose to grow what they like according to their individual preferences and needs and learn from others as they go. The more people that plant and care for the garden, the better it is.

"I believe that open source is necessary for a positive AI future.

AI has more potential than any other modern technology to increase human productivity, creativity, and quality of life — and to accelerate economic growth while unlocking progress in medical and scientific research. Open source will ensure… that power isn’t concentrated in the hands of a small number of companies and that the technology can be deployed more evenly and safely across society."

Mark Zuckerberg, Founder and CEO

Read the full op-ed

SEE WHAT OPEN SOURCE CAN DO

When AI is open source, it’s available to all—and when it’s available to all, everyone benefits.

SUB-SAHARAN AFRICA

FoondaMate

Many of the 3 million students who use Foondamate sit in classes of 50-70 students, where individual teacher attention is scarce and a textbook for each child isn’t guaranteed. Foondamate - or “study buddy” in Zulu - is a 24/7 study aid, built with open source AI, to help middle and high school students clarify challenging concepts, prepare for exams and more.

SOUTH KOREA

Upstage

Upstage is an AI solutions startup that fine-tuned their Al model with Llama. Its flagship product, Ask Up, is the first Korean chatbot service used by almost 1.3 million people.

JAPAN

Elyza

Elyza is Japanese AI startup, that has developed a Japanese commercial Large Language Model using Meta Llama, for applications such as chatbots, and text generation to improve workplace efficiency.

US

City of Hope Cancer Research & Treatment Center

City of Hope National Medical Center used Meta’s open source AI model to build clinical tools for cancer doctors, including a tool to generate summaries of clinical notes to help doctors quickly catch up on patient information. They are also working on a clinical trial matching tool to help match patients with relevant clinical trials.

Discover how startups and organizations are building with open source AI.

Open source AI is helping level the playing field across the globe, enabling companies of all sizes to use state-of-the-art AI models and make advancements across education, medicine and more.

US

AIIRA

AIIRA aims to develop foundational AI technologies through the use case of agriculture, focusing on two main problems: breeding new crop varieties resilient to climate change and developing AI-driven technologies for precision agriculture and decision support. They are using Large Language Models like Llama to identify potential reducers of crop yield, such as insects, diseases, and weeds, and provide rapid information and decision support to growers.

US

Mayo Clinic

In medicine, few fields require more precision or more data than radiation oncology. Patients’ lives depend on getting the right treatment in this specialized domain. Mayo Clinic’s pioneeringRadOnc-GPT is a large language model (LLM) leveraging Meta Llama 2 that has the potential to significantly improve the speed, accuracy, and quality of radiation therapy decision-making, benefiting both medical practitioners and the patients they serve.

GLOBAL

UNESCO Language Translator

The UNESCO Language Translator is built on Meta’s No Language Left Behind (NLLB) open-source AI model, and hosted on Hugging Face spaces. Launched in 2022 by Meta’s Fundamental AI Research lab (FAIR), NLLB is a first-of-its-kind, open-source AI breakthrough project that is capable of delivering evaluated, high-quality translations directly between 200 languages—including low-resource languages like Asturian, Luganda, Urdu and more.

GLOBAL

World Resources Institute

Reforestation, typically performed through tree planting, remains one of the most powerful tools for offsetting global carbon emissions. In collaboration with Meta, the World Resources Institute has leveraged open source AI to measure the height of every tree on earth. The team at WRI is using this dataset to monitor reforestation programs throughout Africa and assisting governments around the world to do the same.

SUB-SAHARAN AFRICA

Yale + EPFL

In medicine, access to the right information at the right time can determine everything. Researchers at EPFL’s School of Computer and Communication and Yale School of Medicine built Meditron, using open source AI, to assist with clinical decision-making and diagnosis in low-resource settings.


Our commitment to transparent and secure AI

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More eyes mean better AI

With a larger community of developers reviewing the code, issues are spotted and resolved faster. We and others stress test our products to improve safety performance, and we work with policymakers, experts in academia and civil society, and those in our industry to advance our open approach to AI.

Learn about our commitment

Open research is in our AI DNA

For more than a decade, Meta’s Fundamental AI Research (FAIR) team has been sharing cutting-edge research and collaborating with the global AI community. This research allows us to cement our understanding of emerging AI platforms and develop new product experiences.

Learn more about our research initiatives
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Learn how we innovate in a secure way

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COMMUNITY

Investing in the
open source community

Our Llama Impact Program is comprised of grants, awards, hackathons, and community building programs aimed to identify ways that Llama can accelerate efforts to promote social and economic progress and solve policy challenges.

Discover programs, grant winners and upcoming events in your region
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AI Alliance

Meta and IBM co-launched the AI Alliance, a community of over 70 tech creators, developers and adopters working together to advance safe, responsible artificial intelligence through open innovation.

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Open Innovation AI Research Community

Workshops and activities for academic researchers, designed to foster collaboration and knowledge-sharing between Meta and the research community to help garner key feedback on Meta’s approach to open source and future model development.

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Data for Good

Data for Good offers a variety of open source AI-driven datasets that can be used by governments, universities, and nonprofits around the world to strengthen service delivery and fuel scientific research.

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Learn how our recipients are tackling global issues using open source AI models.

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We’re committed to building in the open and helping ensure that the benefits of AI extend to everyone. And a growing number of academics and entrepreneurs alike agree that open source AI is the right path forward.

Learn how others are building with open source AI

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Zauron Labs | UT Health San Antonio

Zauron Labs used Meta’s open source AI, Llama, to build an AI tool that’s like a spellchecker for radiologists.

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Yale | EPFL

Yale + EPFL used Meta’s open source AI, Llama, to build an AI tool that tailors medical guidance to help doctors in remote areas.

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WriteSea

WriteSea used Meta’s open source AI, Llama, to build an AI tool that helps people with the job search.

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Nanome

Nanome used Meta’s open source AI, Llama, to build an AI tool that helps scientists find new treatments for diseases.

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Mendel

Mendel used Meta’s open source AI, Llama, to build an AI tool to help match patients to clinical trials.

Making AI openly available benefits everyone, including Meta

Meta has a long history of open source projects and successes. As more developers and companies use it, our AI becomes one of the global standards. That means Meta and many others can build the best experiences and products that people want to use. To do this, we must ensure that our company always has access to the best technology and that we’re not locked into a competitor’s proprietary ecosystem.

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