[in-person] Polyglot day: Inferring AI

Bengaluru — India

[in-person] Polyglot day: Inferring AI

When

11/21/2026, 5:30:00 AM

Where

IBM Ln, Bengaluru, Ka, Bengaluru, Ka, in

About

The Polyglot Meetup has been fostering a strong and dynamic community of developers, over the last 10 years! Excited to welcome you to our rung 2 in-person meetup of 2026! our highlight this time is learning through community engagement with new session recipe! We will go length and breadth of AI and Java with expert-led talks covering Transformers, Agentic AI, AI-enabled content generation, and the evolving business landscape surrounding Java licensing. Let us together learn what are the advances in AI, and how they are influencing software engineering and redefining the way organizations innovate. THIS IS A FREE EVENT! BUT PRIOR REGISTRATION IS MANDATORY Please Register here Event Date :- 21st Nov 2026 Reporting Time: 10.30 AM Session Time :- 11.00 AM to 4.00 PM Location : IBM EGL D Block, 3rd floor, Multipurpose hall Embassy Golf Links, Off IndiraNagar-Koramangala Intermediate Ring Road, Bengaluru, Karnataka 560071 Map : https://maps.app.goo.gl/qQU2MHAUP5ZeNvtz7 Track 1 :- 11.00 AM to 11.40 AM Tea break & Networking :- 11.40 AM to 11.50 AM Track 2 :- 11.55 AM to 1:00 PM Lunch Break :- 1.00 PM to 1.40 PM ( Lunch will be arranged ) Track 3 :- 1.45 PM to 3:30 PM Tea Break & Networking :- 3.30 PM to 4:00 PM [keynote] Transformers : The ABCD of Modern AI Speaker : Vibha Marpalle Every conversation about modern AI starts in the same place: the Transformer. it is how models hold context, stay coherent and power nearly every serious AI system today. So lets skip the surface tour and plunge in. Self-attention, positional encoding and encoder-decoder design: lets take each one apart, then put them back together to see how they turn raw tokens into meaning. Agentic AI for Java: Root Cause Analysis, Code Fixes, and Validation Speaker : Dinakar Guniguntala Debugging a Java application in production is only half the battle. Identifying the root cause is valuable, but translating that insight into a code change, implementing the fix, and validating the result is what ultima

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