Question 1
GPT stands for
Generative Pre-trained Transformer
Generative Pre-trained Text
Generalized Pre-trained Transformer
Generative Pre-trained Transfer-text
Question 2
Question 3
Suppose we pre-train a model using a text-to-text framework. A user wants to fine-tune the pre- trained model on a regression task where the inputs are sentences but the labels are real-valued. The label values range from 0.1 to 2 with a step size of 0.1. Given these, choose the correct statements.
The objective function of the pre-trained model should be modified during fine-tuning
The objective function of the pre-trained model need not be modified during fine-tuning
Text-to-text framework cannot be used for any regression problem
We need to add a layer, on top of the output layer, that outputs a real value
12 more questions in this paper
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More on the LLM End Term 28 Apr 2024 Set QDB3 paper
The IIT Madras BS Large Language Models (LLM) End Term paper sat on 28 Apr 2024, in the January 2024 term, set QDB3: 15 questions for 50 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | LLM End Term 28 Apr 2024 Set QDB3 at a glance |
|---|---|
| Term | January 2024 term |
| Subject | Large Language Models |
| Course code | BSDA5004 |
| Questions | 15 |
| Marks | 50 |
| Duration | 180 min |
| MCQ | 2 |
| MSQ | 5 |
| Numerical | 7 |
| Written | 1 |
| Official paper | IIT M DEGREE AN EXAM QDB3 28 Apr 2024 |
| Negative marking | No negative marking. |
| Updated |