Oracle Cloud Infrastructure 2024 Generative AI Professional - 1z0-1127-24 FREE EXAM DUMPS QUESTIONS & ANSWERS
You create a fine-tuning dedicated AI cluster to customize a foundational model with your custom training dat a. How many unit hours arc required for fine-tuning if the cluster is active for 10 hours?
Correct Answer: A
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How does the temperature setting in a decoding algorithm influence the probability distribution over the vocabulary?
Correct Answer: B
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What does accuracy measure in the context of fine-tuning results for a generative model?
Correct Answer: B
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Which technique involves prompting the Large Language Model (LLM) to emit intermediate reasoning steps as part of its response?
Correct Answer: C
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Which is NOT a typical use case for LangSmith Evaluators?
Correct Answer: A
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Given the following prompts used with a Large Language Model, classify each as employing the Chain-of- Thought, Least-to-most, or Step-Back prompting technique.
L Calculate the total number of wheels needed for 3 cars. Cars have 4 wheels each. Then, use the total number of wheels to determine how many sets of wheels we can buy with $200 if one set (4 wheels) costs $50.
2. Solve a complex math problem by first identifying the formula needed, and then solve a simpler version of the problem before tackling the full question.
3. To understand the impact of greenhouse gases on climate change, let's start by defining what greenhouse gases are. Next, well explore how they trap heat in the Earths atmosphere.
L Calculate the total number of wheels needed for 3 cars. Cars have 4 wheels each. Then, use the total number of wheels to determine how many sets of wheels we can buy with $200 if one set (4 wheels) costs $50.
2. Solve a complex math problem by first identifying the formula needed, and then solve a simpler version of the problem before tackling the full question.
3. To understand the impact of greenhouse gases on climate change, let's start by defining what greenhouse gases are. Next, well explore how they trap heat in the Earths atmosphere.
Correct Answer: C
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Which is a characteristic of T-Few fine-tuning for Large Language Models (LLMs)?
Correct Answer: D
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