Efficient General Intelligence - When Novel Models Meet Customized Silicons

Abstract

Learn about the opportunities and progress for AI models and hardware accelerator co-design for efficient general intelligence (EGI), e.g. hierarchical memory transformer (EMT), lookup-table-based LLMs, and customized acceleration of the LLM memory processing pipeline. Hear the latest research from UCLA using AI/ML techniques and algorithmic methods to automate chip design to enable rapid design of deep learning models on customized silicon.