LLMOps using Azure AI Studio and PromptFlow

LLMOps using Azure AI Studio and PromptFlow

22 May 202414:05pm - 22 May 202415:05pm

LLMOps using Azure AI Studio and PromptFlow

About the Event

In the rapidly evolving field of generative AI, LLMOps (Large Language Model Operations) play a crucial role in ensuring responsible deployment and management of AI models. This session will delve into how Azure AI Studio facilitates the integration of responsible AI principles throughout the LLMOps lifecycle.

We will demonstrate tools and methodologies for mitigating potential harms, including Azure AI Content Safety, and discuss the importance of model cataloging, prompt flow, and user experience design in creating secure and reliable AI applications. Participants will gain insights into best practices for operationalizing responsible AI, continuous monitoring, and leveraging Azure's infrastructure for scalable and compliant AI solutions.

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

Manoranjan Rajguru

Manoranjan Rajguru

AI Global Black Belt at Microsoft

Manoranjan Rajguru is an AI Global Black Belt at Microsoft, where he addresses complex problems in Generative AI, Large Language Model. He brings a wealth of knowledge from his previous role as a Data Scientist at Amazon. With over a decade of experience in AI and ML, he's a respected voice in the tech community, evidenced by his active Medium blog with 30+ articles and a LinkedIn following of 8,000 professionals. His work continues to shape the AI landscape, demonstrating a profound impact on both technical advancements and thought leadership in the field.

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