Beyond the Hype—LLMs vs. Traditional ML in the Real World

Are Large Language Models (LLMs) really the future of enterprise AI, or are we caught in the hype? Join us for a groundbreaking 12-hour hackathon that puts both LLMs and traditional ML approaches to the test in real-world corporate scenarios. Teams will tackle challenging tasks across genomics, time series, financial data, and NLP domains under realistic constraints – because the real world doesn't always give you unlimited GPUs and perfect datasets.

What makes this hackathon unique? You'll be part of a structured comparative study that will shape how companies approach AI solutions. Teams will be specifically assigned to either LLM or traditional ML approaches, working with diverse datasets under varying time and resource constraints. Whether you're a data scientist, ML engineer, researcher, or graduate student, join us to discover what really works in AI beyond the hype!

Dec. 2, 2024 - Dec. 3, 2024

NYU

Online

$100