AWS Certified AI Practitioner

Explanation

For creating accurate yet slightly human-sounding article summaries, the ideal parameter combination is temperature 0.3 & top-p 0.4 (Option A). Here's why:

Temperature Analysis:

• 0.3: Low to moderate temperature - provides enough creativity to sound human while maintaining accuracy
• 0.7: Higher temperature - would introduce too much randomness, potentially compromising accuracy

Top-p (Nucleus Sampling) Analysis:

• 0.4: Conservative nucleus sampling - considers only the most probable tokens (top 40% of probability mass)
• 0.9: Broad nucleus sampling - considers a wide range of tokens (top 90% of probability mass), increasing creativity but reducing accuracy

Combination Rationale:

1. Accuracy requirement: Low temperature (0.3) ensures the model stays focused on factual information
2. Human-sounding requirement: Moderate temperature provides slight creativity to avoid robotic outputs
3. Top-p 0.4: Further ensures the model considers only highly probable tokens, maintaining factual accuracy

Why Option B is incorrect:

• Temperature 0.7 is too high for accurate journalism summaries
• Top-p 0.9 is too broad, allowing too many lower-probability tokens
• This combination would likely produce creative but potentially inaccurate summaries

Best Practice: For factual content with slight human touch, use low-to-moderate temperature (0.2-0.4) and conservative top-p (0.3-0.5).