Session
Exploring Cloud Native MLOps for GenAI Vector Search
ChatGPT has been in the center stage since early this year. We will first take a look into this exciting sub-new field of Generative AI, and understand what LLM and NLP are, and the challenges that all of these are presenting themselves. We will also highlight the importance of Vector Search, and what a Vector DB's role is helping with the embeddings and fast index pattern matches/searches.
MLOps—machine learning operations, or DevOps for machine learning—is the intersection of people, process, and platform for gaining business value from machine learning. It streamlines development and deployment via monitoring, validation, and governance of machine learning models. With the rapid rise in popularity in GenAI, we will explore how the operational side of things will be impacted and what MLOps will differ from DevOps.
Mary Grygleski
AI Practice Lead, TED/x Speaker, Technical Advocate, Java Champion, President of Chicago-JUG, Chapter Co-Lead of AICamp-Chicago
Chicago, Illinois, United States
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