In text generation with GPT-2, what effect does increasing the temperature parameter generally have?
It makes the output more deterministic and repetitive.
It increases randomness by flattening the probability distribution, making less likely words more probable to be chosen.
It strictly limits the vocabulary size considered at each step.
It increases the penalty for repeating n-grams.
chain.invoke({"prompt": "What is the capital of France?"})
chain.invoke("What is the capital of France")
chain.invoke("France")
chain.invoke({"country": "France"})
Fill in the missing function call to correctly compile and execute the LangGraph workflow. graph = StateGraph()
# ... add nodes and edges ...
app = graph.________()
output = app.________({"query": "What is LangGraph?"})
connect(), execute()
run(), output()
setup(), call()
compile(), invoke()
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The IIT Madras BS Data Science and AI Lab (Data Science and AI Lab) Quiz 2 paper sat on 23 Nov 2025, in the September 2025 term: 24 questions for 50 marks in 120 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 | Data Science and AI Lab Quiz 2 23 Nov 2025 at a glance |
|---|---|
| Term | September 2025 term |
| Subject | Data Science and AI Lab |
| Course code | BSDA4001 |
| Questions | 24 |
| Marks | 50 |
| Duration | 120 min |
| MCQ | 14 |
| MSQ | 6 |
| Numerical | 4 |
| Official paper | IIT M DEGREE AN EXAM QDB2 23 Nov 2025 NEW |
| Negative marking | No negative marking. |
| Updated |
