Date
Apr 3, 2025, 3:00 pm4:00 pm
Location
Online Event
Audience
Princeton students, graduate students, researchers, faculty, and staff

Details

Event Description
This workshop is an overview of how pre-trained LLMs can be customized and applied to specific domains using domain adaptation techniques: custom tokenization and domain adapted continued pre-training with curated domain specific data, and supervised fine tuning with domain specific instructions. NVIDIA will walk through how these techniques were applied to ChipNeMo - an LLM customized for industrial chip design which was then used for building a code generation assistant, a bug summarization and analysis assistant, and an engineering chatbot assistant. Results show that these domain adaptation techniques enable significant LLM performance improvements over general-purpose base models in domain-related downstream tasks without degradation in generic capabilities.

References: Format: Presentation with open Q&A

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