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.

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

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.

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.