Data Extraction & Summarization

Large Language Models (LLMs) are incredibly powerful for processing text. They can transform unstructured information into formats that are easy for computers to understand and use.

This lesson explores two key applications: data extraction (pulling specific info) and summarization (condensing long texts).

Data extraction is the process of identifying and pulling specific pieces of information from a larger body of text. Think of it like finding a needle in a haystack, but the LLM helps you do it automatically.

• Examples: Extracting names, dates, addresses, product IDs, or sentiment from customer reviews.
• It transforms free-form text into structured data you can analyze.