Meta Llama: Recent advances in AI, especially generative AI, have sparked excitement and revealed the transformative potential of these technologies.

How to Apply for Meta Llama $500,000 Impact Grants
How to Apply for Meta Llama $500,000 Impact Grants

They can enable remarkable achievements, usher in a new era of economic and social opportunities, and offer fresh avenues for individuals, creators, and organizations to express themselves and connect with others.

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Meta, known for its history of open-sourcing products and tools, launched meta Llama 2 in July as the next-generation open-source large language model. The widespread interest, with hundreds of thousands of download requests, highlights the global developer community’s recognition of Llama 2’s significance.

CHECK: How to Apply: Global Engagement Summit 2024

In alignment with their commitment to open source, Meta is introducing the Llama Impact Grants program. The program aims to identify and support the most impactful uses of Llama 2 for the betterment of society.

Recognizing the complexity of global challenges, the program is structured around three key tracks:

Open Innovation


Eligibility is open to labs and organizations with ideas for addressing global challenges using Llama 2.

Applicants under the Education track are encouraged to explore how Llama 2 can enhance equitable education outcomes, such as personalized content for students and support for teachers.

For the Environment track, proposals should consider how Llama 2 can contribute to building a healthier and more sustainable world, including mitigation and adaptation strategies.

Meta welcomes innovative proposals that leverage Llama 2 for social good, such as faster information synthesis, coding software applications, medication side effect analysis, and analyzing court records for biases.

Evaluation criteria

Evaluation criteria include technical feasibility, applicability, responsibility, and impact. Finalists will be notified in January 2024.

Application Deadline: November 15, 2023.



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