- Published on
IPhO Gold using Agentic Gemini
- Authors
- Name
- Martin Andrews
- @mdda123
Presentation Link
The sixty-forth MeetUp of the Machine Learning Singapore Group, was titled : "LLMs in production : Inference, RAG, and video models" - and was a bit of a change for us because it was held at the Rakuten offices near Raffles Place in Singapore (rather than Google's offices).
My Presentation
My talk was titled "IPhO Gold using Agentic Gemini", and had the following outline:
- Intro + What is the IPhO?
- Including a quick walk-through of this year's 3 IPhO Theory questions
- Agentic Gemini for the IPhO
- Wrap-up & QR-code (the latter to reduce audience distractions)
This was an exciting paper for me to present because I actually represented the UK in the International Physics Olympiad in two different years (before I went up to university). So, it was a bit Physics-oriented, though I think the audience was more interested in the agentic use of Gemini Pro...
In-Person version
The slides for my talk, which contain links to all of the reference materials and sources, are here :
If there are any questions about the presentation please ask below, or contact me using the details given on the slides themselves.
YouTube version
Other Presentations
The MeetUp included two other speakers (both from Rakuten) - Dongzhe Wang and Jonathan Zhao:
- Dongzhe gave the first talk "Efficient LLM Fine-tuning for Semantic Search", going from the basic ideas of semantic search to the process of fine-tuning an embedding model for a specific use-case.
- In Jonathan's talk, "Efficient Inference and Serving of LLMs and Large Video-Generative Models", he explained the key aspects of modern LLM inference serving, and also highlighted some of the other issues in serving video models.
Acknowledgements
Many thanks to the Rakuten team, who allowed us to use Rakuten's centrally located meeting space.