Browse through our curated collection of machine learning interview questions.
How do you evaluate the effectiveness of prompts in machine learning models, specifically in the context of prompt engineering? Describe the methodologies and metrics you would use to determine whether a prompt is performing optimally, and explain how you would test and iterate on prompts to improve their effectiveness.
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Describe how Retrieval-Augmented Generation (RAG) uses prompt templates to enhance language model performance. What are the implementation challenges associated with RAG, and how can it be effectively integrated with large language models?
Describe chain-of-thought prompting in the context of improving language model reasoning abilities. How does it relate to few-shot prompting, and when is it particularly useful?
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