Getting Started with Large Language Models with Princeton Language and Intelligence (Part 2)

Large language models have transformed how we conduct research. In this session, we will talk about how one can:
(1) fine-tune a language model on their own data;
(2) evaluate models on benchmarks;
(3) use large-language-model-powered embedding tools for clustering, classification, and other tasks;
(4) access frontier large language models, such as GPT-4, via APIs;
(5) and work with LLMs on the Research Computing clusters.

Meet the Facilitators

Simon Park, Graduate Student, Computer Science and Princeton Language and Intelligence
Abhishek Panigrahi, Graduate Student, Computer Science and Princeton Language and Intelligence

Preparation

If you are new to machine learning then consider attending the following two workshops:

Introduction to Machine Learning for Humanists and Social Scientists (Parts 1 & 2) by Prof. Sarah-Jane Leslie on January 13 and 14
A Hands-On Introduction to Machine Learning (Parts 1, 2, 3 & 4) by Julian Gold and Gage DeZoort on January 15, 16, 17, 21

More Training Workshops

See the entire PICSciE/RC Wintersession 2025 training program.

Accommodation

To request accommodations for this event, please contact the workshop or event facilitator at least 3 working days prior to the event.

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Co-hosted with: PICSciE/Research Computing

Contact the organizers