Training Data

Executive Definition: Training Data — The dataset used to initially teach an AI model how to recognize patterns, make predictions, or generate text.

Training data forms the foundation of every machine learning model. The quality, diversity, and relevance of this data directly determine model performance, making data curation a critical aspect of AI development.

Frequently Asked Questions

How much training data is required?

It varies by task. Fine-tuning an LLM requires 100-1,000 examples. Custom classifiers may need tens of thousands. Pre-training a foundational model requires trillions of tokens.

Where do AI companies source training data?

Common sources include web scraping, licensed datasets, public domain archives, and synthetic data generation.

Can I use proprietary company data for training?

Yes, provided you have the rights. Strict adherence to data privacy regulations and intellectual property laws is essential, often favoring on-premise or private cloud setups.