London, UK – At Meta's first Llama Impact Hackathon in London, Team Guardian has

emerged as the winner with a concept for an innovative AI-powered triage assistant which

has the potential to transform waiting times in NHS A&E departments. This state-of-the-art

solution, built on Meta's open-source Llama 3.2 model, could enhance patient care and

streamline NHS operations, addressing critical challenges faced by frontline healthcare

workers.

Guardian's triage tool introduces an AI driven patient intake process which could reduce

waiting times and better allocate resources in A&E departments. Through intelligent real-time

risk assessments and the creation of Atlas, a pioneering clinical AI agent to support frontline

medical staff deliver the best care as quickly as possible.

The team behind Guardian will receive 6 weeks of technical mentorship to advance their AI

solutions in healthcare. They hope to be able to demonstrate their concept further, as an

invaluable support for doctors and nurses, ensuring faster and more efficient patient

evaluations. By facilitating communication in multiple languages, Guardian also improves

symptom articulation and understanding to non English speakers.

The Llama Impact Hackathon, in collaboration with Cerebral Valley - https://cerebralvalley.ai/events, gathered over 200

developers across 56 teams, all tasked with leveraging Llama 3.2 to address the UK

Government's missions on healthcare, clean energy and social mobility. The winners and two

runners up, will share a prize fund of $50,000.

Second and third places were awarded to Gripmind and Pharmallama, respectively.

Gripmind developed a robotics solution for assisted living, featuring a robot arm controllable

via brain, speech, or imagery. Pharmallama created an on-device app enabling patients to

engage with pharmacists about potential side effects, understand necessary medications,

and centralise patient records to identify conflicting prescriptions.

"It was inspiring to be at Meta and discuss how open-source AI can be harnessed for public

benefit. Whether accelerating cancer diagnoses, boosting productivity, or developing new

tools to combat climate change, this technology holds immense potential. That's why we're

placing AI at the forefront to not only improve public services and stimulate economic growth

but also deliver a brighter future for communities across the country," stated UK Minister for

AI Feryal Clark.

"The UK has the developer talent, research base, and creativity to lead in deploying AI. With

access to open-source AI models like Llama, developers and researchers can craft tools and

systems tailored to Britain's challenges, from enhancing public service delivery to boosting

workplace productivity and aiding scientific breakthroughs. We eagerly anticipate these

projects coming to life and look forward to working with our winners as well as the UK

Government to develop them further." said Nick Clegg, President of Global Affairs at

Meta.

“The talent at this London Llama Hackathon was some of the best we’ve ever seen. More

than 200 developers come out to build projects for the public good and demonstrate how

open source AI can create positive social impact.” Ivan Porollo Founder, Cerebral Valley.

Cerebral Valley is the biggest AI community in the world with 40,000+ of the best developers

in the industry.

Participation in this hackathon also enables these teams to apply for both regional grants of

up to $100K and global grants of up to $500K through the Llama 3.1 Impact Grants

For more information on the Llama Impact Hackathon and Guardian's winning project, visit

Llama Impact Hackathon - https://www.llama.com/llama-impact-grants.

ENDS

Further Information

Our partners for this event included Groq, Nebius, and Neon, who provided inference,

compute, and data retrieval support for the participants over the weekend.

Groq provided 1,000+ tok/s Llama model inference for hackers. Nebius provisioned each

team an H100 VM for compute and model fine-tuning. Neon provided a simple serverless

database environment.

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