Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.

Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.

CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.

Neuromnia uses Meta's Llama 3.1 to develop Nia, an AI assistant for automating ABA therapy tasks.

MetaLearner uses Meta's Llama 3.1 to make ERP systems like SAP and Oracle easier to work with.

Arivihan, an online learning platform in India, uses Meta’s Llama to generate personalized answers, as well as lectures, for students.

Refik Anadol, an internationally renowned media artist, fine-tunes Meta's open source Llama models to develop 'Large Nature Model', a generative AI system trained on over half a billion nature images.

Nanome launched MARA, an AI copilot to aid scientists in biopharma R&D by orchestrating workflows, executing routine cheminformatics tasks, and offering informative responses to scientific queries.

Upeo Labs, a Kenyan AI startup, leverages Meta's Llama 3.1 for Somo-GPT, a teaching assistant that digitizes Kenya’s national curriculum, with conversational assistance across subjects like biology, history, and mental health.

CopyAI leverages Meta Llama on Lamini’s LLM platform to accelerate content generation for go-to-market efforts. By fine-tuning a high-precision classifier based on Llama, CopyAI automates content categorization for a Fortune 100 client, streamlining processes and driving efficiency.

CopyAI leverages Meta Llama on Lamini’s LLM platform to accelerate content generation for go-to-market efforts. By fine-tuning a high-precision classifier based on Llama, CopyAI automates content categorization for a Fortune 100 client.

NinjaTech AI harnesses Meta Llama 3 alongside AWS's Trainium & Inferentia2 chips and PyTorch to develop next-generation AI agents (Ninja LLMs).

NVIDIA leverages Meta's Llama 3.1 models and employs structured weight pruning and knowledge distillation to develop smaller, more efficient Llama-Minitron models.

Saama's AI Research Lab has developed Llama3-OpenBioLLM-70B & 8B, the most openly available medical-domain LLMs to date.

Zoom uses Meta's Llama in a federated approach to develop AI Companion, a generative AI assistant integrated into Zoom Workplace and Business Services. AI Companion leverages both open-source and closed-source large language models to provide features like meeting summaries, smart recordings, and next steps at no additional cost for eligible paid plans. This implementation helps users avoid repetitive tasks, enhances collaboration and productivity, and maintains data security and privacy by keeping customer data within Zoom’s secured servers. With over 700,000 accounts using AI Companion and growing adoption, Zoom's AI integration significantly improves user experience and operational efficiency.

LyRise, a recruitment platform connecting companies with AI experts from the Middle East and North Africa, uses Meta's Llama 2 and 3 to implement AI-driven candidate matching. By utilizing Llama's text summarization and RAG capabilities to condense job descriptions and resumes, LyRise reduces time-to-hire by 50%, while ensuring quality talent acquisition.

BestViewReviews has upgraded to Meta Llama 3 8B from Llama 2 7B, using GenAI and LLMs to analyze millions of customer reviews and expert blogs. This provides unbiased and independent product advice, empowering customers to make better-informed buying decisions.

SNCF, in collaboration with Alp Valley and partners, integrated Meta's Llama 3.1 to create a multilingual, voice-enabled virtual assistant for Paris' Gare du Nord. Unveiled at Vivatech Paris and the Paris 2024 Summer Olympics, this assistant enhances passenger experience by providing real-time train information and multilingual support, demonstrating advanced module development and efficient workflow validation.

PROMPTS program leverages Meta Llama and machine learning to support maternal health in Africa by efficiently triaging incoming questions, identifying urgent cases, and providing critical support to expecting mothers in Kenya. Plans to enhance capabilities to reach 1.3 million women across Sub-Saharan Africa.

Gupshup.io's CX Product Suite 'Converse' is now powered by ACE LLM, domain-specific models fine-tuned for enterprise-grade conversations based on Meta's Llama 2. This enhances their offerings in customer acquisition, marketing, commerce, and support.

Together.AI provided high-performance inference for Infinite Craft, a game by Neal Agarwal using Llama 2 70B. The game lets users create new items by combining elements, producing logical and witty results. Together.AI enabled elastic scaling to meet huge demand, using Llama Guard to avoid bad results.

Latitude, the developer of AI Dungeon, migrated to OctoAI's optimized Llama 3.1 models (8B and 70B), achieving improved output quality, increased efficiency, and lower costs.

Envision, an assistive technology company, leverages Meta's Llama 3.1 to empower individuals who are blind or have low vision. By integrating Llama's language processing and computer vision, Envision's products, including a mobile app and a prototype on Meta’s Project Aria glasses, articulate visual information into speech. This enables users to access everyday information independently, enhancing their autonomy and quality of life.

SAIF CHECK, a company based in Riyadh, Saudi Arabia, uses Meta's Llama 3 to develop a model evaluation system that assesses AI models for compliance with legal, regulatory, privacy, and data security standards. Utilizing a Retrieval Augmented Generation (RAG) framework, the system scans and integrates global regulatory environments into a comprehensive knowledge base, enabling conversational and context-aware evaluations for both technical and non-technical users. This enhances trust in AI models, streamlines the auditing and certification process, and ensures businesses in the Middle East and North Africa can deploy AI solutions confidently and compliantly.

FoondaMate, a study helper for middle & high school students in emerging markets, uses Meta's Llama to power its AI study buddy available on WhatsApp and Messenger. It answers questions on various subjects, adapts to different English levels and uses multi-step guidance. The platform currently has 3 million students across South Africa, Zimbabwe, and Nigeria – and report 30% uplift in university eligibility for their users.

Niantic, known for augmented reality games like Pokémon GO, uses Meta's Llama 2 to develop Peridot, a mobile AR game featuring virtual pets called "Dots." By integrating Llama 2, Dots exhibit dynamic and responsive behaviors, making interactions unique and enhancing user engagement. Additionally, Niantic employs computer vision with the Niantic Lightship ARDK to enable Dots to interact with the physical environment, creating a more immersive and lifelike gaming experience. This AI-driven approach accelerates development, reduces manual programming, and delivers personalized interactions, improving player satisfaction and engagement.

Sarvam AI specializes in developing AI solutions for Indic languages. They developed a Hindi Large Language Model by extending Meta's Llama 2 in partnership with AI4bharat. The model aims to deliver GPT-3.5-like performance on Indic languages under compute and data constraints, achieving high performance on a frugal budget.

Mendel has developed Hypercube, an AI platform that integrates Meta Llama 2-based LLM for natural language processing on clinical data. Hypercube uses a hypergraph semantic layer and the proprietary Eloquent language to enable querying and retrieving clinical information for applications like trial matching and patient cohorting. Llama 2 assists in converting natural language queries into Eloquent, bridging the gap for users unfamiliar with the query language.

Mayo Clinic uses Meta's Llama 2 to develop RadOnc-GPT, a specialized large language model for radiation oncology. RadOnc-GPT is fine-tuned on patient records and deployed locally to ensure data security. It supports a chatbot that answers routine post-radiotherapy questions, reducing nurses’ and clinicians’ workloads and improving treatment decision-making speed, accuracy, and quality. Future developments include predicting patient outcomes and expanding clinical tasks, enhancing operational efficiency and patient care.

Aive, an AI platform for video post-production, leverages Meta's Llama 3 to automate video summarization and smart clipping. By analyzing long-form content, Aive creates concise, engaging video formats optimized for platforms like Facebook and Instagram. This integration helps brands like LVMH, L'Oréal, and Stellantis streamline video workflows, reduce costs, and maximize content impact across channels within a secure and scalable AI environment.