The One About LLMs in Practice
Ready to Level Up Your LLM Game? Join us for a round of practical insights covering the full spectrum of LLM implementation - from its cutting-edge capabilities to real-world deployment challenges.
More About the Sharings
Hui Chien will share insights on the transformative advances in LLMs! Discover how extended context windows, internet-enabled models, and enhanced reasoning capabilities are reshaping knowledge work and opening new possibilities in computing. Explore how these breakthroughs are driving an Industry 4.0 revolution in how we process and analyze information. (Technical Level: 100-200)
As enterprises gradually roll out LLM based applications to production, evaluating the quality and factualness of responses is especially challenging when scaling across thousands of responses. Manual review won’t cut it, and generic benchmarks won’t reflect your domain-specific use cases. Sze Chin (SQ), Co-founder and CEO of Esse Pi will share some of the ways to automate evaluation using techniques like synthetic ground truth generation, AI-as-a-judge and prompt-based self-checks. The sharing will cover methodologies, best practices and tools that can help you evaluate the performance of LLM apps at scale. (Technical Level: 100)
Join John as he shares practical lessons from experimenting with model optimization - from quantization techniques that actually work to deployment strategies that won't break the bank. Learn how to shrink LLMs while maintaining their effectiveness, backed by real implementation examples and cost-benefit analyses. Learn more about deploying AI solutions within realistic business constraints.
More about the Speakers
Mr Loy Hui Chien is a public officer from the Ministry of Foreign Affairs (MFA). Beyond his day job, he is passionate about harnessing digital tools to enhance his effectiveness as a professional, manager, and leader. With a background in computing dating to his school days, he believes the advent of generative AI marks the most exciting era of computing in decades. Through Lorong AI, he hopes to connect with other AI changemakers in Singapore and super-charge 10x our collective AI journey.
SQ is a serial entrepreneur who co-founded ESSE PI, an AI startup making AI accessible to all. ESSE PI builds AI solutions across on-premise, GCC and public cloud environments. SQ has also ran AI workshops that have trained over 4,000 people including 3,000 public servants. Previously as co-founder and CEO of IVS, he expanded the video startup across 5 Asian markets, reaching 100M users with 250M monthly video views. Before his startup journey, SQ spent 11 years in the public sector. He holds a Master of Science in Electrical Engineering from Stanford University, focusing on neural networks.
John Ang is an Associate Director in the AI & Data team at Temus, where he leads initiatives that harness artificial intelligence to drive digital transformation across public and private sectors. He focuses on solving complex business problems by unlocking value from data through scalable AI solutions. His work spans strategy, product development, and delivery—bridging technical depth with real-world impact. Passionate about innovation, he is committed to shaping the future of digital services in Singapore and beyond.
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