large-language-models - Concepts

Explore concepts tagged with "large-language-models"

Total concepts: 4

Concepts

Knowledge Cutoff - The fixed date boundary beyond which an AI model has no training data, creating a temporal blind spot for events, discoveries, and changes after that point.
AI Grounding - The practice of anchoring AI model outputs in verifiable, current, and authoritative information sources to reduce hallucinations and bridge knowledge gaps.
Neural Scaling Laws - Empirical power-law relationships predicting how AI model performance improves as a function of model size, dataset size, and compute budget.
Emergent Abilities - Capabilities that appear in large AI models only beyond a critical scale threshold, absent or near-random in smaller models.