Carlin Wiegner > AI > Advanced

Advanced Artificial Intelligence

• Types of Neural Networks
• Transformers
• Training
• Backpropopgation
• Stochastic gradient descent
• Pre-training
• Fine tuning
• Training Sets
• Hyperparameters
• Association
• Unhobbling
• Benchmarks
• Circuits
• Universality
• Alignment
• Regularization
• Dropout
• Scaling
• Scaling laws
• Unhobbling
• Retrieval-augmented generation
• Diffusion
• Tokenization
• Quantization
• Quantization
• Memory
• Interpretability
• #107 – Chris Olah on what the hell is going on inside neural networks
• Reinforcement Learning
• Yann LeCun: Why RL is overrated
• Reinforcement Learning Human Feedback
• Planning
• Search
• Enterprise
• Agents

Created: October 9 2024.
Modified: October 9 2024.