NLU-11: Labs (Demo Sessions)
This course has drop in labs every other week, starting in week 3. The labs involve practical programming and are designed to help you with the assignments. Please have a look at the lab exercises ahead of your session to prepare. You will then work through the exercises during the lab session. There is one lab demonstrators in every lab who will help you and answer questions. They will introduce themselves at the beginning of the session.
Please check the Course Timetable to see when and where tutorials and labs are happening. Please note that tutorials and labs will be taught in person on campus.
Note: Since the labs are intended to be done partially in your own pace, we might include already the links to the labs below. However, there might be some fine-tuning of the labs until the week they happen. In addition, the solutions will be released in the week after the lab happens.
Lab number | Week | Lab exercises | Solutions |
1 | 3 | Lab1: Numpy | Solutions for Lab 1 |
2 | 5 | Lab 2: Distributed Representations | Solutions for Lab 2 |
3 | 7 | Lab 3: Tensor Computation in PyTorch | Solutions for Lab 3 |
4 | 9 | Lab 4: Prompting with GPT-3.5 | Solutions for Lab 4 |