AI Glossary — Simple Definitions for AI Terms
Embeddings: Numeric representations of concepts for machine learning models.
Parameters: Internal values adjusted during model training to influence predictions.
Transformers: Neural network architecture used in many large language models.
LLM (Large Language Model): A model trained on vast datasets to generate human-like text.
Diffusion Models: AI systems that gradually transform random noise into images.
Context Window: The amount of text a model can consider at once.
Tokens: Chunks of text (words or subwords) used as input/output in LLMs.