G (16 terms)

GAN Two-network setup where generator fools a discriminator. Advanced Gating Network Chooses which experts process each token. Intermediate Generalization How well a model performs on new data drawn from the same (or similar) distribution as training. Intermediate Generative Model Models that learn to generate samples resembling training data. Advanced Gesture Recognition Interpreting human gestures. Frontier Global Minimum Lowest possible loss. Intermediate Gradient Direction of steepest ascent of a function. Advanced Gradient Clipping Limiting gradient magnitude to prevent exploding gradients. Intermediate Gradient Descent Iterative method that updates parameters in the direction of negative gradient to minimize loss. Intermediate Gradient Leakage Recovering training data from gradients. Intermediate Gradient Noise Variability introduced by minibatch sampling during SGD. Intermediate Graph Attention Network GNN using attention to weight neighbor contributions dynamically. Intermediate Graph Convolution Extension of convolution to graph domains using adjacency structure. Intermediate Graph Neural Network Neural networks that operate on graph-structured data by propagating information along edges. Intermediate Grounding Constraining outputs to retrieved or provided sources, often with citation, to improve factual reliability. Intermediate Guardrails Rules and controls around generation (filters, validators, structured outputs) to reduce unsafe or invalid behavior. Intermediate