Key Architectures & Models
Turing Test
A test proposed by Alan Turing to assess a machine's ability to exhibit intelligent behavior indistinguishable from that of a human.
Expert Systems
Programs from the symbolic AI era designed to emulate the decision-making of a human expert in a specific domain.
Backpropagation
The fundamental algorithm that enables the training of deep neural networks by calculating and propagating errors backward through the network.
Convolutional Neural Network (CNN)
A type of deep neural network architecture designed specifically for processing grid-like data, such as images.
Transformer Architecture
Introduced in 2017, this architecture, based on the 'attention' mechanism, powers modern Large Language Models (LLMs).
Large Language Models (LLMs)
AI models, typically based on the Transformer architecture, trained on massive amounts of text to understand and generate human-like language.