Overview

Recent breakthroughs in AI, and generative AI in particular, have captured the public’s imagination and demonstrated they have the potential to help people create a new era of economic and social opportunity, and give individuals, creators, and organizations new ways to express themselves and connect with people.

The Meta Llama Impact Innovation Awards are intended to further identify and support organizations who are already using Llama 2 or 3 as a core element of their work to address the challenges in their region as outlined below.

Winners

Congratulations to all of our winners!

• Mohamed bin Zayed University of Artificial Intelligence’s BiMediX2 is a bilingual biomedical expert system that provides virtual medical advice and diagnostic support in both English and Arabic. Built with Llama 3.1, it can understand and respond to medical queries, including those related to medical images, and enables verbal user interaction by integrating pre-trained speech-to-text and text-to-speech models like Meta's Seamless-M4T to their system.
• HelpMum has developed an innovative chatbot service that delivers accurate and timely information on vaccination and immunization. Leveraging Llama 3’s advanced language processing capabilities, HelpMum created Vax-Llamamodel—an AI-driven, open-source model designed to provide reliable vaccination information. This open source model can be integrated into HelpMum’s chatbot service and adopted/used by healthcare organizations worldwide.
• Tanzania AI Community’s chatbot Twiga provides teachers with a virtual assistant for generating exams, lesson notes, and course materials tailored to the Tanzanian curriculum via WhatsApp. Twiga uses Llama 3 to generate contextualized educational content in order to address the shortage of quality resources and high workload of teachers in Tanzania. It uses Llama 3 70B in its RAG pipeline to generate high-quality educational exercises and Llama 3 7B for smaller tasks like efficient query pre-processing and data extraction.
• Flow Informatics’ phosoAI project aims to address food insecurity in Malawi by enhancing a WhatsApp-based chatbot that provides real-time information on food prices, availability, and agricultural practices to the public, particularly in rural and urban areas. The chatbot uses Llama 3 to provide real-time information to users in Chichewa. It also allows for voice commands to improve accessibility in low-literacy areas.
• Factly Media and Research’sSACH (Search Application for Claims & Hoaxes) is an AI chatbot designed to combat misinformation and enhance online trust and safety. SACH provides instant fact-checking capabilities and contextual insights for web content, including images and text. SACH’s multilingual capabilities ensure users can access fact-checking resources in their preferred language. Llama 3’s conversational abilities let users engage in natural language dialogues, ask follow-up questions, and explore topics in-depth.
• AIM Intelligence’s Llama-Suho project addresses AI safety and security challenges in the Korean context, focusing on culturally sensitive topics, nuanced societal issues, and hate speech. It leverages and fine-tunes Llama with Korean-specific data to enhance AI safety measures for the Korean language and cultural contexts. The project aims to contribute to the global discourse on ethical AI deployment and set new standards for culturally aware AI safety measures.
• Netsafe used Dagster as a foundation to design a robust data pipeline to help classify, redact, and aggregate data in order to assist with harm remediation. NetSafe uses Llama 3 to analyze reports of online harm, redact sensitive information from reports in order to protect user privacy, and automate tasks like data aggregation, summarization, and categorization, freeing up staff to focus on high-priority cases.
• AiSee is an affordable wearable assistive device that helps people with visual impairment “see” the objects around them. The Llama 405B model serves as the backbone of the system, providing accurate and comprehensive information, while the 8B model, optimized for mobile devices, handles user interactions and generates intermediate responses.
• Hiperderecho’s aLex (Augmented Legal Experience) uses Llama to democratize access to and understanding of the Peruvian legal system. The team automated 60,000 PDFs of judgments available on the Constitutional Court portal from 1996 to 2024 in order to render the text searchable. Llama was used to classify, index, and make the text searchable for queries. Llama also creates summaries in both formal, legal language and informal synopses to help both those in legal professions as well as the public better understand the legal system.
• Instituto de Inteligência Artificial na Saúde’s NoHarm Summary Discharge project automates and enhances patient discharge summaries, improving accuracy, completeness, and efficiency. By streamlining the discharge process, the project reduces administrative burdens on healthcare providers, minimizes errors, and ensures comprehensive post-hospital care instructions for patients. This contributes to better patient outcomes, reduced healthcare costs, and improved economic efficiency in the healthcare sector.
• Civica Digital’s TrueDocs AI assistant provides real-time guidance and support for navigating government procedures, simplifying complex legal and technical language to make public services more accessible and user-friendly. The AI agent assistant simplifies the interaction with government services by providing real-time, multilingual support, breaking down complex procedures into understandable steps. This not only makes services more accessible but also increases the overall user satisfaction and trust in the system.