E (30 terms)

E-Discovery AI-assisted review of legal documents. Intermediate Early Stopping Halting training when validation performance stops improving to reduce overfitting. Intermediate Edge Inference Running models locally. Intermediate Eigenvector Vector whose direction remains unchanged under linear transformation. Advanced Embedding A continuous vector encoding of an item (word, image, user) such that semantic similarity corresponds to geometric cl... Intermediate Embodied AI AI systems that perceive and act in the physical world through sensors and actuators. Advanced Embodiment Hypothesis Intelligence emerges from interaction with the physical world. Advanced Emergence System-level behavior arising from interactions. Advanced Emergent Abilities Capabilities that appear only beyond certain model sizes. Intermediate Emergent Competition Competition arises without explicit design. Advanced Emergent Coordination Coordination arising without explicit programming. Intermediate Empirical Risk Minimization Minimizing average loss on training data; can overfit when data is limited or biased. Intermediate Encryption in Transit/At Rest Protecting data during network transfer and while stored; essential for ML pipelines handling sensitive data. Intermediate Energy-Based Model Models that define an energy landscape rather than explicit probabilities. Intermediate Entropy A measure of randomness or uncertainty in a probability distribution. Intermediate Epoch One complete traversal of the training dataset during training. Intermediate EU AI Act European regulation classifying AI systems by risk. Intermediate Eval Harness System for running consistent evaluations across tasks, versions, prompts, and model settings. Intermediate Existential Risk Risk threatening humanity’s survival. Advanced Expectation Average value under a distribution. Advanced Experiment Tracking Logging hyperparameters, code versions, data snapshots, and results to reproduce and compare experiments. Intermediate Explainability Techniques to understand model decisions (global or local), important in high-stakes and regulated settings. Intermediate Explainability Mandate Requirement to provide explanations. Intermediate Explainability Requirement Legal or policy requirement to explain AI decisions. Intermediate Explainable Credit Model Credit models with interpretable logic. Intermediate Exploding Gradient Gradients grow too large, causing divergence; mitigated by clipping, normalization, careful init. Intermediate Exploration-Exploitation Tradeoff Balancing learning new behaviors vs exploiting known rewards. Intermediate Exposure Bias Differences between training and inference conditions. Intermediate Expressivity The range of functions a model can represent. Intermediate Exteroception External sensing of surroundings (vision, audio, lidar). Advanced