What are structured data?
In previous chapters, we focused on how Large Language Models can handle textual data. In fact, those models are, as the name suggests, “language” models, meaning that they have been trained and are able to handle unstructured, text data.Nevertheless, unstructured data only refers to a portion of the overall data realm that applications can handle. Generally, data can be categorized into three types:Certainly! Here are definitions and examples of unstructured, structured, and semi-structured data:
- Unstructured Data refers to data that doesn't have a specific or predefined format. It lacks a consistent structure, making it challenging to organize and analyze using traditional databases. Examples of unstructured data include:
- Text documents: Emails, social media posts, articles, and reports.
- Multimedia: Images, videos, audio recordings.
- Natural language text: Chat logs, transcriptions of spoken conversations.
- Binary data: Files without a specific...
