Machine learning

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.
• autograd
• supervised machine learning.