REGISTRATION NOTES
Click register and then use your @berkeley.edu or @lbl.gov email address.
If you have trouble, you may need to log out of Zoom and log back in.
For help read more here: https://dlab.berkeley.edu/zoom-troubleshooting-tips
Location: Remote via Zoom. Link will be sent on the morning of the event.
Recordings: This D-Lab workshop will be recorded and made available to UC Berkeley participants for a limited time. Your registration for the event indicates your consent to having any images, comments and chat messages included as part of the video recording materials that are made available.
Start Time: D-Lab workshops start 10 minutes after the scheduled start time (“Berkeley Time”). We will admit all participants from the waiting room at that time.
Date & Time: This workshop runs from 2pm-4pm each day:
- Thu Sep 26
Description
This workshop offers a general introduction to the GPT (Generative Pretrained Transformers) model. No technical background is required. We will explore the transformer architecture upon which GPT models are built, how transformer models encode natural language into embeddings, and how GPT predicts text.
Prerequisites: None
Workshop Materials: https://github.com/dlab-berkeley/GPT-Fundamentals/
Software Requirements: Installation Instructions for Python Anaconda
Is Python Not working on your laptop?
Attend the workshop anyway, we can provide you with a cloud-based solution until you figure out the problems with your local installation.
Feedback: After completing the workshop, please provide us feedback using this form.
Questions? Email: dlab-frontdesk@berkeley.edu