Document loaders in Prompt Engineering / GenAI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a document loader in machine learning?

A document loader is a tool or code that reads and imports documents (like text files, PDFs, or web pages) into a program so the data can be used for training or analysis.

beginner

Why do we need document loaders before training AI models?

Because AI models need data in a clean, organized format. Document loaders help convert raw documents into structured data that models can understand and learn from.

beginner

Name two common types of documents that document loaders handle.

Text files (like .txt) and PDFs are two common document types that loaders can read and process.

intermediate

How does a document loader handle different file formats?

It uses specific methods or libraries designed for each format to extract the text or data correctly, for example, using PDF parsers for PDFs and simple reading for text files.

intermediate

What is one challenge document loaders face when processing scanned documents?

Scanned documents are images, so loaders need Optical Character Recognition (OCR) to convert images of text into actual text data before processing.

What is the main purpose of a document loader?

A To read and import documents into a program

B To train machine learning models directly

C To create new documents automatically

D To delete unwanted files

Document loaders help bring documents into a program so the data can be used for AI tasks.

Which file type usually requires special parsing when using a document loader?

A Plain text (.txt)

B CSV files

C JSON files

D PDF files

PDF files have complex formatting and need special libraries to extract text properly.

What technology helps document loaders read text from scanned images?

A Speech Recognition

B Natural Language Processing

C Optical Character Recognition (OCR)

D Image Compression

OCR converts images of text into actual text data.

Which of these is NOT a function of a document loader?

A Training the AI model

B Extracting text from documents

C Cleaning and organizing data

D Handling multiple file formats

Training AI models is done after loading and preparing data, not by the loader itself.

Why is it important for document loaders to handle different formats?

A To encrypt the data

B Because data comes in many forms and formats

C To reduce file size

D To make documents look nicer

Data can be in text files, PDFs, or web pages, so loaders must handle all to prepare data well.

Explain what a document loader does and why it is important in AI projects.

Think about how raw documents become usable data for AI.

Describe a challenge document loaders face with scanned documents and how it is solved.

Consider how text in pictures becomes readable text.