Low rank adapters

Detects pattern within data and use it to make useful prediction. Generally AI \subset ML \subset DL Some main exploration: Transformers Large language models NLP CNN Logistic regression Optimization gradient descent hyperparameter tuning ensemble learning Recommender systems Reinforcement learning Q-learning Policy Gradient Monte-Carlo Tree Search Generative Models GAN VAE Autoencoder sparse autoencoder sparse crosscoders Supervised Q-learning Low-rank adapters Fields mechanistic interpretability Related: linear algebra.