This week, we we will have the first lecture on movie summarisation and the next two lectures on summarisation and parameter efficient fine tuning.
As a reminder, Coursework 2 has been issued and is due on Friday 22 March at 12:00 noon.
This week's lab is on prompting with GPT-3.5. It even includes a small competition on who can develop the best performing prompt on a small data set! Please note you will need an OpenAI key to run this lab; please obtain this before you attend your lab session, instructions can be found in the lab itself.
The solutions for last week's tutorial are now available:
And here is a preview of next week's tutorial. Please work through this before attending your tutorial group next week:
Slides | Lecture | Course Content |
Movie Summarisation | 25 (Keller) | Guest lecture - not examinable Required reading: none Additional reading:
|
Summarisation | 26 (Minervini) | Required reading: - A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task |
Parameter-Efficient Fine-Tuning | 27 (Minervini) | Required reading: |