AIF-C01 · Question #388
An ecommerce company is developing an AI application that categorizes product images and extracts specifications. The application will use a high-quality labeled dataset to customize a foundation…
The correct answer is C. Perform fine-tuning. Fine-tuning customizes a foundation model using a high-quality labeled dataset so the model learns domain-specific patterns, enabling accurate image categorization and specification extraction for the ecommerce use case.
Question
An ecommerce company is developing an AI application that categorizes product images and extracts specifications. The application will use a high-quality labeled dataset to customize a foundation model (FM) to generate accurate responses. Which ML technique will meet these requirements by using Amazon Bedrock?
Options
- AApply continued pre-training
- BCreate an agent
- CPerform fine-tuning
- DDevelop prompt engineering
How the community answered
(22 responses)- A14% (3)
- B5% (1)
- C73% (16)
- D9% (2)
Explanation
Fine-tuning customizes a foundation model using a high-quality labeled dataset so the model learns domain-specific patterns, enabling accurate image categorization and specification extraction for the ecommerce use case.
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