AIF-C01 Question 147
Select 3A company is evaluating the performance of a foundation model they fine-tuned for summarizing long technical documents. They want to ensure that the summaries are accurate, concise, and meaningful. Which methods could the company use to evaluate the foundation model's performance?
- A
Use BLEU or ROUGE scores to compare the model's output against reference summaries.
- B
Manually review a random sample of summaries for readability and factual accuracy.
- C
Examine the model's training loss to judge its performance on summarization tasks.
- D
Conduct user surveys to evaluate how end-users perceive the quality of the summaries.
- E
Evaluate the model's latency and compute cost during inference.
Show answer and explanation
Correct answers: A, B, D
Explanation
Evaluating a foundation model's performance for summarization requires a mix of quantitative and qualitative methods. BLEU and ROUGE provide quantitative measures against reference summaries, while manual review and user surveys offer qualitative insights into accuracy, readability, and user satisfaction. Training loss and latency are not directly relevant to task-specific performance evaluation.
- A. Correct.
BLEU and ROUGE scores are commonly used evaluation metrics for text generation tasks, such as summarization, as they measure similarity to reference summaries.
- B. Correct.
Manual review is a qualitative evaluation method that helps assess readability and factual accuracy, which are critical for summarization tasks.
- C. Incorrect.
While training loss is a useful metric during model training, it does not directly evaluate the performance of a model in real-world summarization tasks.
- D. Correct.
User surveys can provide valuable feedback on how well the generated summaries meet user expectations and are perceived as meaningful.
- E. Incorrect.
Latency and compute cost are performance considerations but are not directly related to evaluating the quality or effectiveness of the summaries generated.