The Oppenheimer Mindset: Engineering Real-World AI
Einstein provided the theory (), but Oppenheimer’s engineering delivered the reality. Today's AI needs the same practical, engineering-focused mindset to move from research to real-world impact.
Join us to learn how to build AI that delivers measurable value.
In this session, you'll discover:
A Real-World Case Study: Deploying an LLM for a top-secret government agency with no internet access.
The Engineer's Checklist: Asking the right questions about model size (8B or 800B?), budget, hardware (GPUs, vRAM), and performance (TTFT).
The 3 Pillars of AI Value: How to measure Capability, Reliability, and Cost Efficiency in any AI project.
This highly informative session is for developers, PMs, and tech leaders who want to build valuable, reliable AI solutions.
This talk will be presented by Gene Jiang - Head of AI Lab at AvePoint Singapore - as part of the In-campus Recruitment Drive.
Stop chasing hype. Start engineering reality. Register now!