Generative AI Learning Month (Virtual) - Session 1

Jun 08, 08:00 PM IST
  • Virtual () AICamp
  • 388 RSVP

Welcome to "Generative AI Learning Month for Google Gemini and Vertex AI," a series of virtual events designed to help you master Google Gemini and Vertex AI, in collaboration with Google Developers.

Join us online every Saturday in June for in-depth tech talks, discussions, and networking with speakers and fellow developers from around the world.

- Session 1: 8th June, 8pm~9pm IST.
- Session 2: 15th June, 8pm~9pm IST. RSVP
- Session 3: 22nd June, 8pm~9pm IST. RSVP
- Session 4: 29th June, 8pm~9pm IST. RSVP

Tech Talk: Fine-tuning Google's Gemma LLM for GST FAQs
Speaker: Yogesh Kulkarni (Google Developer Expert)
Abstract: In this talk, Yogesh will discuss the background of fine-tuning large language models (LLMs) and demonstrate how to use the Ludwig framework to fine-tune Google's open-source LLM, Gemma, on a corpus of Frequently Asked Questions (FAQs) related to Goods and Services Tax (GST).

Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

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We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only have the chance to speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 350K+ AI developers worldwide.

AICamp Community on Slack/Discord
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
Join Slack (search and join the #virtualevents channel) | Join Discord

Yogesh Kulkarni

Yogesh Kulkarni is an Advisor, helping organizations navigate their AI journeys. With over two decades of professional experience in Computer-aided Design software development, including roles as an R&D group/site manager, Yogesh holds an MS and PhD in Geometric Modeling. Currently, he is working in the fields of AI, Machine Learning, and Natural Language Processing.
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