Hands-on learning on building and evaluating generative AI solutions with LLMs responsibly at scale. Learn to create visual executable flows linking LLMs, vector embeddings, prompts, and Python tools; evaluate performance metrics and responsible AI issues such as groundedness, hallucinations, and relevance. Pre-requisites: Basic understanding of Python.
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Speaker
Vinayak Hegde
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talks
CTO-in-residence
Microsoft for Startups
Session hosted by Vinayak Hegde. Vinayak Hegde currently works as CTO-in-residence at Microsoft for Startups helping startups to scale their tech stacks, teams and products. With over 20 years of experience, Vinayak has built multiple products across different domains such as IoT, large scale networks and large-scale data systems in a variety of individual contributor and senior technical leadership roles. Previously he has worked with Akamai, Inmobi, and Zoomcar.
Bio from: Azure ML prompt flow | Building trustworthy AI systems with Responsible AI Toolb
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