Generative AI New
Generative AI is transforming fields by enabling machines to create text, images, molecules, proteins. This course provides an introduction to generative AI, covering foundational concepts, state-of-the-art architectures, and real-world applications. Participants will gain introduction to models like GANs, VAEs, Transformers and Diffusion models.
Postgraduate students and research staff.
Number of sessions: 1
| # | Date | Time | Venue | Trainers | |
|---|---|---|---|---|---|
| 1 | Mon 7 Apr 09:30 - 13:00 | 09:30 - 13:00 | Department of Physics, Maxwell Centre, Rayleigh Seminar (Floor 2) | map | Dr F. Yousefi, Ryan Daniels |
Please note that this is a full day course and participants should book both sessions. Refreshments and lunch will be provided, please add any dietary requirements to the special requirements section.
The information you provide when booking may be used to assess the effectiveness of our workshops, teaching methods in AI for science and to improve future sessions. Your data will remain confidential.
Full day course
Once or twice a term
- AI and Large Language Models Workshop
- AI Clinic Slot
- An Introduction to Diffusion Models in Generative AI
- An Introduction to Docker Workshop
- Hands On AI Workshop
- LLM Hands on Workshop
- Packaging and Publishing Python Code for Research workshop
Booking / availability