Jialin Song

Jialin Song is a senior research scientist in the NVIDIA Applied Deep Learning Research group, working on machine learning for hardware designs and large language models for code generation. Before joining NVIDIA, he received his PhD from Caltech where he worked on reinforcement learning and imitation learning for solving combinatorial optimization problems. He also researched Bayesian optimization for scientific applications for his thesis work at Caltech.
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Posts by Jialin Song

Agentic AI / Generative AI Sep 06, 2024

Using Generative AI Models in Circuit Design

Generative models have been making big waves in the past few years, from intelligent text-generating large language models (LLMs) to creative image and... 7 MIN READ