How to study Generative AI — Electives, Pokhara University BECE
What it covers
Modern generative AI: neural networks and deep learning foundations, large language models, prompting, and building applications with generative models.
Topics worth extra time
- Foundations of generative models
- Transformers and large language models
- Diffusion models and image generation
- Prompting, fine-tuning and retrieval-augmented generation
- Ethics, safety and limitations
How to study it
Experiment with model APIs and open-source models, and build a small application such as a document Q&A tool. Read the key papers alongside the course notes.
In the exam
Explain architectures with diagrams, and discuss limitations and ethical issues with concrete examples.