By now you’ve probably experimented with generative AI tools like ChatGPT, but do you know how to use them effectively? Join us for our eight-week training series on AI and prompt design to learn about the technology underlying large language models (LLMs) and how to leverage their power at your organization.
Thursdays, 11:00 am–12:30 pm EDT (US/Canada)
April 4–May 23, 2023
This course will introduce students to prompt engineering with large language models (LLMs)—how you design and tailor a message to get an LLM to perform a specific task. It is designed for students with no coding knowledge, and a basic knowledge of machine learning is helpful but not required; the course will bring students up to speed with all the necessary terminology and concepts.
Sessions will be divided between instruction and hands-on lessons in which students will apply the material as they learn. LLMs are stochastic, meaning they can behave unpredictably and inconsistently due to their inherent randomness and make it challenging to use them to reproduce the desired results. The course facilitator will lead students to explore the types of issues that arise, why they occur, and how to address them.
Students will be required to subscribe to ChatGPT for the two-month duration of the course. This will ensure that all students are working with the same resources and eliminate the potential challenges that arise from working across different software and models. That said, we will also devote a session to introducing students to the world of open-source machine learning so that they may explore it independently after the course concludes.
Event Sessions
The series consists of eight weekly segments, each lasting 90 minutes and scheduled on Thursdays at 11:00 am–12:30 pm (EDT US/Canada).
April 4: Introduction and Machine Learning
April 11: Large Language Models and Key Concepts
April 18: Beginning Conversations
April 25: Structured Data and Assistants
May 2: Named Entity Recognition with LLMs
May 9: Text Classification with LLMs
May 16: Open Source Language Models
May 23: Limitations and Potential Solutions
Recordings of each session will be made available to course registrants within two business days of the close of the specific session.
Training Facilitator: William Mattingly, Postdoctoral Fellow, Smithsonian Institution’s Data Science Lab
See the NISO website for more information and to register. Discounts are available for NISO Voting Members/LSA Members and groups. Early bird registration deadline is March 21, 2024.
NISO is planning two additional training series in 2024: a course on developing and implementing DEIA policies in your organization (instructor and dates TBD) and an introduction to open research facilitated by Bianca Kramer and Jeroen Bosman and tentatively scheduled for September–November. Check our upcoming events page for the latest updates.
In the meantime, we hope you’ll take advantage of this unique opportunity to maximize the potential of generative AI with new prompt design skills. And remember, register by March 21 to take advantage of early bird registration rates!
Best,
The NISO Team
NISO
3600 Clipper Mill Road, Suite 302
Baltimore, MD 21211
Phone: 301.654.2512
E-mail: [log in to unmask]