Training Data

Definitions

1. The dataset used to teach a machine learning model. The quality, size, and representativeness of training data fundamentally determine a model's capabilities and limitations. Garbage in, garbage out — at scale.

   In plain English: The information an AI learns from — like the textbooks a student studies. Better training data leads to a smarter, more reliable AI.

Etymology

1950s

Early machine learning uses small, hand-crafted datasets; the concept of 'training data' emerges alongside perceptrons

2009

ImageNet provides 14 million labeled images, demonstrating that massive training data enables breakthroughs in visual recognition

2023

Training data becomes legally contested — lawsuits from artists, authors, and publishers challenge the use of copyrighted works

Related Terms

• Fine-Tuning
• Overfitting
• RLHF
• Synthetic Data
• Epoch
• Model Collapse
• synthetic training data
• Training Data Licensing
• Self-Instruct