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Course Description

We will systematically examine Large Language Models and other modern generative artificial intelligences using tools from computer science, cognitive science, and linguistics to understand what kind of intelligence they are and what they're good at. We will learn about human intelligence and what factors support vs. interrupt our learning. And we will combine these insights to find actionable ways to support human learning using Generative AI. This is a technical class in which we will play with langchain and other LLM tools in python, fine tune our own models, and write programs to conduct experiments on them. Knowledge of Python and Discrete Mathematics and having taken introductory Computer Science classes are strongly recommended.

This is an in-person course that follows the published schedule of course meetings and requires attendance at all sessions. Tufts courses are designed to provide high-quality and interactive courses to Tufts and visiting students. For more information about course policies and expectations, please visit https://universitycollege.tufts.edu/policies#University-Policies

Basic Enrollment Requirements: Knowledge of Python and Discrete Mathematics and having taken introductory Computer Science classes are strongly recommended.

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the offering type: whether the offering is a course, workshop or short course, or in-demand offering. Please refer to the section details to confirm the type of offering as well as any exceptions to the standard refund policy. The refund policies for each offering type are viewable here: https://universitycollege.tufts.edu/policies/refunds#Courses-at-Tufts-(Academic-Year--Summer-Session)

Remission Eligible: Yes; first day of term; all university policies apply.

Affiliated With:

School of Arts & Sciences