concept
active
concept:meta-learning

Meta-learning

The capability of GPT-3 to learn tasks from few-shot prompts during runtime.

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Artifacts (1)

artifact

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • Metacognitionconcept0.821
    The ability to model one's own cognition; linked to consciousness and decision-making across theories.
  • Learningconcept0.808
    Inference of parameters encoding contingencies of the world (e.g., likelihood matrix A) at slower timescale than perception.
  • Epistemic Learningconcept0.802
    Learning model parameters through curious, uncertainty-reducing behavior; reducing ignorance about contingencies
  • Metaknowledgeconcept0.799
    Knowledge about one's own knowledge limitations; a form of self-modeling.
  • Meta-Awarenessconcept0.795
    System's awareness of its own attentional states; the paper's central explanatory target, formalized as precision over attentional state representations.
  • Sentience criterion; capacity occurs even in gene regulatory networks and non-neural morphogenetic agents.
  • Q-learningmethod0.787
    Model-free RL algorithm used in experimental comparison; employs ε-greedy exploration.
  • Learning paradigm that jointly learns multiple related tasks using a single model