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Open Source and In-House: How Uber Optimizes LLM Training

Generative AI powered by LLMs (Large Language Models) has a wide range of applications at Uber, like Uber Eats recommendations and search, customer support chatbots, code development, and SQL query generation. To support these applications, Uber leverages open-source models like Meta® Llama 2 and Mistral AI Mixtral®, and closed-source models from OpenAI, Google, and other third-party providers. As a leading company in mobility and delivery, Uber also has considerable domain-specific knowledge that can improve LLM performance for these applications. ‌One way Uber incorporates this domain-specific knowledge is through RAG (Retrieval Augmented Generation).

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Timeline cronologica

  1. martedì 26 maggio 2026·uber.com

    Open Source and In-House: How Uber Optimizes LLM Training

    Generative AI powered by LLMs (Large Language Models) has a wide range of applications at Uber, like Uber Eats recommendations and search, customer support chatbots, code…