Question 680
The business case is: An engineer treats temperature zero as proof that factual hallucination is impossible. Select TWO: the appropriate design decision and convincing validation evidence. (Select TWO.)
Explanation
Correct Answers
The intervention for the stated situation An engineer treats temperature zero as proof that factual hallucination is impossible is: Adjust supported sampling, safety and response-length settings according to task goals, measuring quality rather than treating settings as factual guarantees. It directly mitigates: Higher randomness can reduce consistency, while aggressive output limits can truncate essential answers or structured records.
A separate outcome check for the situation An engineer treats temperature zero as proof that factual hallucination is impossible is: A parameter comparison tests repeatability, valid output length and safety outcomes for the exact selected model. It measures the effect of the selected intervention rather than relying on the existence of a proposal.
Incorrect Answers
This choice addresses grounding with world data via google search; its main associated risk is: Public search is not proof of confidential enterprise records and can return unreliable or rapidly outdated pages. However, the situation An engineer treats temperature zero as proof that factual hallucination is impossible is primarily about sampling temperature top-p and token controls. The targeted decision is: Adjust supported sampling, safety and response-length settings according to task goals, measuring quality rather than treating settings as factual guarantees.
This choice addresses grounding in first-party enterprise data; its main associated risk is: A model without current company documents may confidently invent policies, while broad retrieval may leak private content. However, the situation An engineer treats temperature zero as proof that factual hallucination is impossible is primarily about sampling temperature top-p and token controls. The targeted decision is: Adjust supported sampling, safety and response-length settings according to task goals, measuring quality rather than treating settings as factual guarantees.
This choice addresses grounding with vetted third-party sources; its main associated risk is: Unverified external sources can introduce false claims, licensing problems or prompt injection into business answers. However, the situation An engineer treats temperature zero as proof that factual hallucination is impossible is primarily about sampling temperature top-p and token controls. The targeted decision is: Adjust supported sampling, safety and response-length settings according to task goals, measuring quality rather than treating settings as factual guarantees.