1.3.3 · Lesson 10 of 28
Format input data for FM inference
Transform data into the exact input structure expected by the selected model/API.
WHAT
Transform data into the exact input structure expected by the selected model/API.
Examples
- JSON request body
- structured fields
- conversation messages
- multimodal content blocks
- endpoint-specific request format
WHY
Correct data with incorrect formatting can still produce failed inference.
AWS
Amazon Bedrock APIs generally require model/API-specific request structures.
SageMaker endpoints can require model-specific inference payloads.
Best practice
Create an adapter:
Application Data
↓
Normalization
↓
Model Adapter
↓
Model-specific RequestEXAM TRAP
Do not assume one universal request format works for all models.
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Key points
- Correct data with incorrect formatting can still produce failed inference.
Exam focus
JSON request body structured fields conversation messages multimodal content blocks endpoint-specific request format