**Apologies for cross posting**
There’s only one week left to take advantage of early bird rates for NISO’s in-depth training series on AI and Prompt Design! Our course begins on Thursday, April 4; discounts are also available for NISO members and groups.
Thursdays, 11:00 am–12:30 pm EDT (US/Canada)
April 4–May 23, 2024
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
See our event page for additional details and course requirements. 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
The training series offers a unique professional development opportunity for anyone wishing to get the most out of LMMs in their work. We hope you’ll register and take advantage of our discounted early bird rates today!
Best,
The NISO Team
NISO
3600 Clipper Mill Road, Suite 302
Baltimore, MD 21211
Phone: 301.654.2512
E-mail: [log in to unmask]