Results for "learned objectives"

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46 results

Orthogonality Thesis Advanced

Intelligence and goals are independent.

AI Safety & Alignment
Instrumental Goals Advanced

Goals useful regardless of final objective.

AI Safety & Alignment
Alignment Research Intermediate

Research ensuring AI remains safe.

Governance & Ethics
Cooperative AI Intermediate

Designing AI to cooperate with humans and each other.

Governance & Ethics
Existential Risk Advanced

Risk threatening humanity’s survival.

AI Safety & Alignment
Parameters Intermediate

The learned numeric values of a model adjusted during training to minimize a loss function.

Foundations & Theory
Computational Learning Theory Intermediate

A theoretical framework analyzing what classes of functions can be learned, how efficiently, and with what guarantees.

AI Economics & Strategy
Multi-Head Attention Intermediate

Allows model to attend to information from different subspaces simultaneously.

AI Economics & Strategy
Attention Head Intermediate

A single attention mechanism within multi-head attention.

AI Economics & Strategy
Memory Augmentation Intermediate

Extending agents with long-term memory stores.

AI Economics & Strategy
Generative Model Advanced

Models that learn to generate samples resembling training data.

Diffusion & Generative Models
Variational Autoencoder Advanced

Autoencoder using probabilistic latent variables and KL regularization.

Diffusion & Generative Models
Zero-Shot Prompting Intro

Task instruction without examples.

Prompting & Instructions
Catastrophic Forgetting Intermediate

Loss of old knowledge when learning new tasks.

Model Failure Modes
Inverse Reinforcement Learning Advanced

Inferring reward function from observed behavior.

Reinforcement Learning
Lifelong Learning Advanced

Learning without catastrophic forgetting.

Agents & Autonomy

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