FE 524: AI Systems Development and Business Applications
Course Description
Catalog Description
This 1-credit course will cover the applied use of large language models (LLMs). Participants will learn how to use LLMs with a programming language, prompt structures that can improve LLM outputs in a variety of business scenarios, common AI/LLM system architectures, how to use open LLMs, and how to evaluate the reliability and accuracy of LLMs. The course includes hands-on exercises, discussions, and real-world business applications.
Prerequisites
There are no course prerequisites, but students will need (1) general comfort using a computer with a command-line application like Terminal or PowerShell and (2) knowledge of Python or a commitment to learning it.
Course Outcomes
This 1-credit course aims for students to gain a general understanding of the applied use of large language models (LLMs), particularly:
- how to take advantage of in-context learning when using LLMs
- how to use LLMs programmatically
- common LLM system architectures
- how to use open LLMs
- other related topics (inference engines, frameworks, etc)
Instructors
| Professor | Office | |
|---|---|---|
| Ed Loeser | eloeser@stevens.edu | Babbio 109 |
Course Offerings
| Campus | Fall | Spring | Summer |
|---|---|---|---|
| On Campus | X | X | |
| Web Campus |
Course Resources
Textbook
There is no required textbook. All material will be introduced during class.