Which of the following orders of operations is/are CORRECT for a single training iteration in PyTorch?
Forward → Backward → Zero gradients → Optimizer step
Forward → Zero gradients → Backward → Optimizer step
Zero gradients → Optimizer step → Forward → Backward
Zero gradients → Forward → Backward → Optimizer step
Backward → Forward → Optimizer step → Zero gradients
Which of the following is/are NOT present in a standard GPT (decoder-only) model?
Positional Embeddings
Word Embeddings
MultiHead Cross Attention Layer
MultiHead Self Attention Layer for the Encoder
MultiHead Self Attention Layer for the Decoder
Consider the following RAG pipeline:
Which of the following is/are true?
The pipeline is incomplete as a RAG generation pipeline because no LLM is present to generate the final response.
The retriever and formatter will still be executed as part of the pipeline.
The pipeline correctly performs retrieval-augmented generation.
The pipeline behaves exactly the same as a complete RAG pipeline with an LLM.
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The IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) End Term paper sat on 10 May 2026, in the January 2026 term, set S2: 24 questions for 100 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 | Deep Learning and GenAI End Term 10 May 2026 Set S2 at a glance |
|---|---|
| Term | January 2026 term |
| Subject | Introduction to Deep Learning and Generative AI |
| Course code | BSDA2001 |
| Questions | 24 |
| Marks | 100 |
| Duration | 180 min |
| MSQ | 4 |
| MCQ | 18 |
| Numerical | 2 |
| Official paper | Introduction To Deep Learning And Generative Ai 06 May 26 (Session 2) |
| Negative marking | No negative marking. |
| Updated |
