Oct 17, 4:30 – 7:30 AM (UTC)
8 RSVPs
RSVP does not guarantee entry. We will review registrations, and approved attendees will receive confirmation.
LUMA Link - https://luma.com/ucz8sn88
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OpenAI, Gemini, open-source, and Claude models. Which one actually matters?
The AI model landscape is changing rapidly, with new frontier and open-source models launching constantly. This meetup brings the conversation back to the models themselves.
We’ll explore how leading models compare, where they perform best, the trade-offs between capability, cost, speed, and flexibility, and how engineers and teams should choose the right model for their use case.
1. Welcome & Introduction to Indian Data Club: 10 min
A brief introduction to Indian Data Club and the focus of the meetup.
2. Icebreaker: 10 min
A quick activity around the AI models participants currently use or prefer.
3. Workshop: 40-50 min
Speaker - Anand Gaur (Mobile Tech Lead @ TCS)
Understanding the AI Agents
A practical overview of Agents.
Introduction of the Ecosystem Partner Paytm
4. Panel Discussion: 40 min
Speakers: (TBD)
Choosing the Right AI Model: What Actually Matters?
Three industry practitioners discuss model selection, performance, cost, open source vs. APIs, real-world reliability, and what teams should consider beyond benchmarks.
5. Closing Remarks & Open Networking: 30-40 min
Closing remarks followed by networking with speakers, panelists, and the community.
A clearer view of the current AI model landscape
How to compare models beyond benchmarks
Model selection trade-offs
Frontier vs. open-source considerations
Real-world perspectives from industry practitioners
Community opinions on where the model race is heading
Team
Databricks Delhi
Saturday, October 17, 2026
4:30 AM – 7:30 AM (UTC)
Codebasics
DevRel
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