DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps

DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps

12 Jan 202413:01pm - 12 Jan 202414:01pm

DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps

About the Event

With the rising prevalence of generative AI applications, the demand for tools and processes to seamlessly integrate LLM-powered apps into production is stronger than ever. Enter LLMOps, a crucial operationalization concept, and Azure AI, a robust platform with deep-rooted MLOps capabilities. Join us as we delve into LLMOps, explore its significance, and showcase practical demonstrations, with a particular focus on Prompt flow and LLM Monitoring in Azure Machine Learning. The session will also explore the LLMOps capabilities in the new Azure AI Studio.

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Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Lucky Pamula

Lucky Pamula

Sr Cloud Solution Architect at Microsoft

Vishnu (Lucky) Pamula is a forward-thinking Data & AI evangelist who is adept at blending teaching experience with technology. As a Statistician by training, Lucky developed natural interest in Data Analytics and built a reputation by growing his roles and responsibilities by using analytical platforms to support research, innovation, and digital transformation for the organizations.Lucky is currently working as a Cloud Solution Architect at Microsoft and one of the AI/ML Technology Champions. He is also a field Ambassador for Azure Quantum technology. Lucky is also a part-time Adjunct Professor teaching Business Intelligence and Data Science courses. Lucky also co-developed the "Data Engineering with Azure" nanodegree on Udacity.com.

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