AWS Certified AI Practitioner
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An e-commerce platform wants to adapt an Amazon Titan model for its own product catalog and tone of voice. Which Bedrock capability allows fine-tuning a model on proprietary data?
Real Exam
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JJin
A
Model Customization (Fine-tuning) in Amazon Bedrock
B
Guardrails for Bedrock
C
Continued pretraining
D
Knowledge Bases
Explanation:
Explanation:
Amazon Bedrock's Model Customization (Fine-tuning) capability allows organizations to fine-tune foundation models on their proprietary data. This enables:
- Domain-specific adaptation - The e-commerce platform can adapt the Amazon Titan model to understand its specific product catalog
- Tone and style customization - The model can be trained to match the platform's brand voice and communication style
- Proprietary data utilization - The platform can use its own customer data, product descriptions, and historical interactions
- Improved accuracy - Fine-tuning helps the model perform better on domain-specific tasks
Why other options are incorrect:
- B) Guardrails for Bedrock: This is for content safety and filtering, not for fine-tuning models
- C) Continued pretraining: This refers to further training a model on general data, not proprietary fine-tuning
- D) Knowledge Bases: This is for connecting models to external data sources through RAG (Retrieval Augmented Generation), not for fine-tuning the model itself
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