Results for "market making"

System design where humans validate or guide model outputs, especially for high-stakes decisions.

Tendency to trust automated suggestions even when incorrect; mitigated by UI design, training, and checks.

Mechanisms for retaining context across turns/sessions: scratchpads, vector memories, structured stores.

Methods for breaking goals into steps; can be classical (A*, STRIPS) or LLM-driven with tool calls.

A measure of randomness or uncertainty in a probability distribution.

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

Quantifies shared information between random variables.

Systematic error introduced by simplifying assumptions in a learning algorithm.

Updating beliefs about parameters using observed evidence and prior distributions.

Estimating parameters by maximizing likelihood of observed data.

Optimization with multiple local minima/saddle points; typical in neural networks.

Attention mechanisms that reduce quadratic complexity.

All possible configurations an agent may encounter.

Strategy mapping states to actions.

Fundamental recursive relationship defining optimal value functions.

Extending agents with long-term memory stores.

Coordination arising without explicit programming.

Models evaluating and improving their own outputs.

Framework for identifying, measuring, and mitigating model risks.

Ensuring decisions can be explained and traced.

Logged record of model inputs, outputs, and decisions.

Central catalog of deployed and experimental models.

Legal or policy requirement to explain AI decisions.

Embedding signals to prove model ownership.

GNN framework where nodes iteratively exchange and aggregate messages from neighbors.

Extension of convolution to graph domains using adjacency structure.

Autoencoder using probabilistic latent variables and KL regularization.

Two-network setup where generator fools a discriminator.

Exact likelihood generative models using invertible transforms.

Combining signals from multiple modalities.