Common types of AI models include:
Supervised Learning Models (e.g., Linear Regression, Decision Trees)
Unsupervised Learning Models (e.g., K-Means Clustering, Principal Component Analysis)
Reinforcement Learning Models (e.g., Q-Learning, Deep Q-Networks)
Deep Learning Models (e.g., Convolutional Neural Networks, Recurrent Neural Networks)
Generative Models (e.g., GANs, Variational Autoencoders)
Transfer Learning Models (e.g., BERT, GPT-4)
These models are applied to a variety of tasks, including content creation, pattern recognition, prediction, and grouping objects.