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AI Engineer

AI Engineer

Technology and AI 694,000 subscribers

Build, Evaluate and Deploy a RAG-Based Retail Copilot with Azure AI: Cedric Vidal and David Smith

06.02.2025 588 views
Published: 06.02.2025 Category: Technology and AI Views: 588

Episode details

Episode description

Building generative AI applications for production requires a paradigm shift to LLM Ops, with new tools, platforms and processes for orchestrating end-to-end development workflows. In this session, you’ll learn to build, evaluate and deploy an enterprise copilot application end-to-end, using a code-first approach with Azure AI Studio and Prompt flow. From ideating your scenario with your data, to evaluating it for quality locally and on Azure, then deploying it for real-world usage. Recorded live in San Francisco at the AI Engineer World's Fair. See the full schedule of talks at https://www.ai.engineer/worldsfair/2024/schedule & join us at the AI Engineer World's Fair in 2025! Get your tickets today at https://ai.engineer/2025 About Cedric Cedric Vidal is a Principal AI Advocate at Microsoft, specializing in Generative AI , and the startup and research ecosystems. He is dedicated to promoting AI in startups and facilitating the transition of research and startup products to the market. Before his current role, Cedric spent 4 years as an Engineering Manager in the AI data labeling space for the self-driving industry at Argo AI (now re-spawned as Latitude AI). He also served as the CTO of the Fintech AI SAAS startup Quicksign and worked as a software engineering services consultant for major Fintech enterprises for 10 years. About David David has extensive product management and developer relations experience, focused on bridging the gap between technical experts and the stakeholders who rely on their expertise. He has a proven track record of growing and nurturing diverse user communities, and building products to serve their needs, in a range of companies from startups to Big Tech. With a background in Data Science, David has over 20 years of experience in the applications of Artificial Intelligence and Machine Learning to industries as diverse as pharmaceutical research, financial analysis, manufacturing and healthcare IT. He is also an experienced speaker and presenter, and an early contributor to the open-source R project. After leaving his homeland of Australia for the UK to study for a…

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