{"id":12832,"date":"2025-02-10T14:31:31","date_gmt":"2025-02-10T22:31:31","guid":{"rendered":"https:\/\/live-cometml.pantheonsite.io\/?page_id=12832"},"modified":"2025-06-12T17:57:43","modified_gmt":"2025-06-12T17:57:43","slug":"ankit-virmani","status":"publish","type":"page","link":"https:\/\/www.comet.com\/site\/convergence\/ankit-virmani\/","title":{"rendered":"Ankit Virmani"},"content":{"rendered":"\n
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\u2190 BACK TO EVENT PAGE<\/a><\/p>\n\n\n\n

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\"Ankit<\/figure>\n<\/div>\n\n\n\n
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Ankit Virmani<\/h1>\n\n\n

Senior Cloud Data Architect\/Field CTO at Google<\/h2>\n<\/div>\n\n\n\n
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Ankit is a seasoned ML leader with Google, helping organizations develop scalable, reliable and performant ML platforms on Google Cloud. He has over a decade of progressive work experience with machine learning, data engineering and ethical AI and serves as a member of the Forbes Technology council to evangelize the use of responsible AI.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

May 8, 2024 @ 1:10 \u2013 1:40 pm ET<\/p>\n\n\n\n

Real-Time RAG in LLM Applications<\/h2>\n\n\n\n
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This talk will go over a real-life example\/demo of how to keep the vector DB up to date using streaming pipelines, importance of RAGs and how they can be used to eliminate hallucinations, which can have a huge catastrophic impact on the outputs of LLMs. It would be a great session for data and machine learning engineers would want to learn through a deep dive session on how to fine tune LLMs using open source libraries.<\/p>\n\n\n\n

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