Cover Image for Alumnx AI Build Day: TokenLens
Cover Image for Alumnx AI Build Day: TokenLens
Hosted By
8 Going

Alumnx AI Build Day: TokenLens

Hosted by Vijender P
Registration
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About Event

​Alumnx AI Build Day: Token Observability

β€‹πŸ—“οΈ 30th May | ⏰ 11 AM – 12 PM πŸ“ Hybrid β€” Hyderabad + Online


​Ever wondered what your AI inference actually costs?

​When you upload a PDF into ChatGPT or Claude and ask a question β€” do you know how many tokens are being consumed? Do you know when it makes more sense to self-host an open source model like Gemma 4 versus calling a hosted API like Gemini Flash?

​Most people building AI applications today don't have answers to these questions. That's an expensive blind spot.


​What we are building

​Participants from Alumnx AI Labs' Full Stack AI Engineers cohort and AI for Senior Leaders (SLP) program are building a Token Observability web application β€” live, in 48 hours.

​The application will let you:

  • ​Upload a PDF and ask questions against it

  • ​See exactly how many tokens are consumed and what it costs β€” in β‚Ή and $

  • ​Compare full-context ingestion vs RAG-based retrieval

  • ​Understand when a self-hosted model beats a hosted API β€” and when it doesn't


​What happens on 30th May

​We demo the live, deployed application β€” built entirely by our cohort in 48 hours. You will see real token counts, real cost breakdowns, and a side-by-side comparison of Gemma 4 on an NVIDIA A10G GPU versus Gemini Flash API.


​Who should attend

  • ​Developers building AI applications who want to understand and control their inference costs

  • ​Senior leaders evaluating AI investments and ROI

  • ​AI enthusiasts curious about how LLMs are priced and deployed

  • ​Anyone who wants to see what 48 hours of focused AI building looks like


​Want to build with us?

​We are open to contributions from AI enthusiasts who want to code alongside our team during the 48-hour build sprint. Limited spots available.


​Organised by Alumnx AI Labs | Hyderabad Building hands-on AI practitioners β€” one cohort at a time.

Location
https://meet.google.com/sbr-ateq-jpy
Hosted By
8 Going