AWS Certified AI Practitioner

Explanation

For a law firm's Bedrock bot that needs to produce consistent phrasing across contracts, a lower temperature setting is ideal.

Key Concepts:

1. Temperature Parameter: Controls the randomness/creativity of the model's output

   • Lower temperature (0.0-0.3): More deterministic, consistent, and predictable outputs
   • Higher temperature (0.7-1.0): More creative, diverse, and random outputs

2. Why temperature = 0.2 is correct:

   • Legal contracts require precise, consistent language
   • Low temperature ensures the model generates similar phrasing for similar legal concepts
   • Reduces variability in contract language
   • Maintains consistency across multiple contract generations

3. Why other options are incorrect:

   • B. temperature = 0.9: Too high for legal documents - would produce inconsistent, creative phrasing
   • C. top-p = 1.0: Allows all tokens to be considered, doesn't specifically address consistency
   • D. max-tokens = 1000: Controls output length, not consistency of phrasing

Best Practice: For legal, financial, or technical documents where consistency is critical, use low temperature settings (0.0-0.3). For creative writing or brainstorming, use higher temperature settings (0.7-1.0).