TechX: ML in the Age of LLMs

​How are LLMs changing the way machine learning systems are built and tested?

​Tarek Ziadé, Hugging Face ML Engineer, helps maintain the Transformers library, where hundreds of models are tested across CPUs, GPUs, and constantly changing infrastructure. He'll share what that work is teaching him about reliability and scale.

​You’ll leave knowing:

• ​How CI/CD and testing change when AI outputs aren't deterministic

• ​How to tell quality AI-generated code from "AI slop"

• ​What it really takes to manage ML and LLM development at scale

​If you’re a CTO, CIO, or engineering leader navigating ML and LLM adoption, request an invite to join TechX.