D
Dataset
A collection of data used to train or evaluate AI models. High-quality datasets are crucial for building accurate machine learning systems.
G
Generative AI
Models that can generate new data such as text, images, or audio based on patterns learned from existing data. Examples include GPT-4 and Midjourney.
I
Inference
The process of using a trained AI model to make predictions or generate output based on new, unseen data.
L
LLM (Large Language Model)
A type of neural network trained on vast amounts of text to understand and generate human-like language at an advanced level.
M
Machine Learning
A subset of AI that enables systems to learn from data and improve their performance over time without being explicitly programmed for specific tasks.
N
Neural Network
A computational model inspired by the human brain, composed of interconnected nodes (neurons) that process information in layers.
T
Training
The iterative process of teaching an AI model by feeding it data and adjusting its internal parameters to minimize error and maximize accuracy.