Session
A Practitioners Guide to Reducing the Environmental Impact of Generative AI
As generative AI continues to revolutionize various industries, its environmental impact becomes a critical concern. This session delves into sustainable practices for developing and deploying generative AI, guided by Microsoft's Well-Architected Framework (WAF) for sustainable workloads.
We will explore key decision points, including selecting the right models, optimizing fine-tuning processes, leveraging Retrieval Augmented Generation (RAG), and mastering prompt engineering, all through an environmental sustainability lens. By adopting these best practices, practitioners can effectively implement generative AI solutions while minimizing their carbon footprint, energy consumption, and electronic waste.
Join this session to learn how to balance innovation with responsibility and contribute to a greener future.
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Arin Roy
Tech Lead & Azure (AI) MVP, Capgemini
Utrecht, The Netherlands
Links
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