Answer: Model Customization (Fine-tuning) in Amazon Bedrock

**Explanation:** Amazon Bedrock's **Model Customization (Fine-tuning)** capability allows organizations to fine-tune foundation models like Amazon Titan on their proprietary data. This enables: - **Customization for specific use cases**: Adapting models to understand domain-specific terminology, tone, and requirements - **Proprietary data training**: Using company-specific data (like product catalogs, customer interactions, etc.) to improve model performance - **Tone and style adaptation**: Adjusting the model's output to match the company's brand voice and communication style **Why other options are incorrect:** - **B) Guardrails for Bedrock**: This is for implementing safety controls and content filtering, not model customization - **C) Continued pretraining**: While related to model training, this typically refers to ongoing training of base models, not fine-tuning for specific use cases - **D) Knowledge Bases**: This is for connecting models to external data sources for retrieval-augmented generation, not for fine-tuning the model itself Fine-tuning allows the e-commerce platform to make the Amazon Titan model more effective for their specific product catalog and desired communication style.

Author: Ritesh Yadav