What is Training Data?
Training Data — The initial dataset used to teach an AI model how to make predictions or generate text.
Training data is the foundation of every AI model. Its quality, diversity, and relevance directly determine model performance. Poor training data produces biased, inaccurate models regardless of architecture sophistication. Data curation is often the most impactful investment in an AI project.
Frequently Asked Questions
How much training data do I need?
It depends on the task. Fine-tuning an LLM can work with 100-1,000 examples. Training a custom classification model may need 5,000-50,000 labeled examples. Pre-training an LLM requires trillions of tokens.
Where do AI companies get training data?
Web scraping, licensed datasets, public domain content, synthetic data generation, and proprietary data partnerships. The legality and ethics of data sourcing are actively debated.
Can I use my company’s data for training?
Yes, if you have the rights to it. Ensure compliance with data privacy regulations, customer agreements, and intellectual property laws. On-premise training keeps data fully under your control.