Information extraction with LLMs using Amazon SageMaker JumpStart

This article covers information extraction using large language models (LLMs) and Amazon SageMaker JumpStart. It demonstrates how to use prompt engineering and fine-tuning LLMs for tasks like sensitive data redaction, entity extraction, and intent classification.

Specifically, the article covers:

• Prompt engineering techniques for extractive tasks
• Sensitive data detection and redaction using LLMs
• Extracting generic and structured entities from text
• Intent classification using prompt engineering and fine-tuning
• Fine-tuning LLMs and performance comparison
• Conclusion on using prompt engineering vs fine-tuning for complex tasks