Application Deadline: 22nd of November, 2024
Meta has advanced AI with Llama 2, Llama 3, and Llama 3.1, showcasing top performance and new capabilities, including support for eight languages and a 405B parameter model. To promote impactful use, Meta is launching the Llama 3.1 Impact Grants. These grants will be awarded through an open call and regional events like hackathons and workshops. Organizations can apply for up to $500,000 USD, with additional funding for those participating in global events. Proposals that use Llama 3.1 to address community challenges are encouraged.
However, applications meeting one or more of the following criteria will receive special consideration:
- Showcase the newest capabilities of Llama 3.1 (e.g., multilinguality)
- Lower barriers for other developers to build with Llama (e.g., enhance features such as evaluation, data preparation, or prompt engineering)
- Address one of the following topics:
- Economic development
- E.g., future of work; scaled business solutions; support for small businesses
- Science and innovation
- E.g., climate, health, accessibility, agriculture; infrastructure support
- Public services
- E.g., delivery of services; translation of government resources; solving challenges for policymakers; resource allocation; migration
- Education and skills development
- E.g., improve learning outcomes; retraining; lifelong learning
- Economic development
Eligibility
The application window is now open!
We encourage individuals affiliated with a valid business, non-profit organization, academic institution, or research institute in operation for at least one year to submit an application in keeping with the Grant program’s preferred qualifications by using this link.
Please be sure to review the FAQs below and the Terms and Conditions prior to submitting, attend one of our upcoming webinars, and reach out with any additional questions.
SELECTION CRITERIA
The application will be open from August 5 – November 22, 2024. All proposals will be evaluated using a selection criteria that assesses:
- Demonstrated utility of Llama 3.1: Llama should be a fundamental component of the project or product, and its utility should be clearly defined. Preference will be given to those applicants who can demonstrate the utility of Llama 3.1’s new features, including multilinguality.
- Applicability: The proposed solution should measurably address social impact. Preference will be given to applicants who propose to address: economic development; science and innovation; public services; or education and skills development.
- Impact: The proposed solution should articulate a vision for how it impacts the broader problem space and provides social benefit. This might include how the solution works across geographies, addresses the needs of additional communities, or similar.
- Technical feasibility: Proposed solutions should evaluate the technical feasibility of the project, including the availability of computational resources, technical expertise, and time required for development and deployment; outline a robust plan for collecting, cleaning, and preparing the data; and detail the metrics and methods for evaluating the performance of the fine-tuned/ RAG model.
- Business plan: Applicants should demonstrate an understanding of the target market, including potential users and their needs. This includes presenting data, research, or other evidence of market demand and how the fine-tuned model provides a unique value proposition or solves a specific problem better than existing solutions.
Those teams whose proposals are selected as winners will be notified by April 2025. Applicants of interest and runners up may be notified by or beyond that time. Stay tuned for program updates.
For additional information, please see the Terms and Conditions, join us for an upcoming webinar, or see the FAQ below.