Databricks Certified Generative AI Engineer - Associate

To adjust the LLM's output from a detailed summary to a more concise one, the prompt needs to clearly instruct the model to focus on brevity and essential information:

• C. "Provide a bullet-point summary of the key highlights from the report.": Bullet points naturally encourage brevity and a focus on the most important points, which leads to a more concise output.

• E. "Generate a concise executive summary focusing on only the most important findings.": This explicitly asks for a "concise" summary and narrows the focus to only the "most important findings," ensuring the summary is brief and to the point.

The other options would not achieve the desired outcome:

• A. "Give an in-depth analysis of the report, including all technical aspects and details.": This explicitly asks for a detailed analysis, which is the opposite of what is required.

• B. "Summarize the report in 500 words or less, focusing on the technical details.": While it sets a word limit, the focus on technical details could still result in a longer, more detailed summary than intended.

• D. "Summarize the report, making sure to include the abstract, conclusion, and every major section in full.": This would lead to a comprehensive summary rather than a concise one, as it asks for the inclusion of every major section.

By specifying the use of key highlights or focusing on only the most important findings, C and E best guide the LLM toward a concise output.