Jennifer Williams

Jennifer Williams is a senior researcher at NVIDIA on the Nemotron data, scaling and evaluation team. She develops evaluation methods that use early training signals to predict model capabilities and guide data recipes and training decisions. Her background is in machine learning and natural language processing, and she holds a PhD from Carnegie Mellon University’s School of Computer Science.
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Posts by Jennifer Williams

Agentic AI / Generative AI

How SWE-Serve Exposes the Gap Between Local Tests and Live Serving

An AI coding agent’s patch can pass tests yet fail when the server loads a real model and handles requests. Evaluating changes to inference-serving software... 7 MIN READ