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.
What issue might arise from using small data sets with the Vanilla fine-tuning method in the OCI Generative AI service?
How are documents usually evaluated in the simplest form of keyword-based search?
What is the purpose of the "stop sequence" parameter in the OCI Generative AI Generation models?
Why is normalization of vectors important before indexing in a hybrid search system?
