Panagiotis Simatis leads the data science team at ParallelChain Lab, where he designs and implements various machine learning models, such as face anti-spoofing. As a database researcher, he has published papers on topics such as multi-dimensional indexing and layer-1/layer-2 solutions. Before joining ParallelChain Lab, he was a researcher at Crypto.com and the Hong Kong University of Science & Technology (HKUST).
Panagiotis holds an MPhil in Computer Science and Engineering from HKUST and a Master's in Computer Engineering from the University of Ioannina.
Hall 3, Singapore EXPO
Open
This session offers practical guidance on using Large Language Models (LLMs) in real-world applications while addressing potential dangers.
It will cover:
1. Balancing your perspective during the AI hype
2. Understanding the LLM fundamentals
3. Case study: Benefits of LLMs in customer support
4. Learning the best practices for integrating AI into your projects
The Festival
Get Involved
Global Platforms
Copyright © 2024 Elevandi Limited and Constellar Exhibitions Ventures Pte Ltd.