Modern generative AI architectures routinely combine discriminative models alongside large language models, creating compound AI systems suited to use cases that neither approach handles alone.

Artificial intelligence is the broad field of computer science focused on building systems that simulate human intelligence. AI encompasses explicitly programmed systems as well as systems that learn patterns from data without being explicitly programmed for each output.

Deep learning is a subset of machine learning in which multi-layer neural networks learn complex representations directly from data, enabling breakthroughs across language based tasks, image recognition, and speech synthesis.

A large language model is a specific type of deep learning model trained on vast amounts of text to generate human language from text inputs, forming the core of most generative AI applications in production.