Definition
Supervised learning
Training a model on labeled examples, inputs paired with the correct answers, so it learns to predict the answer for new inputs.
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Related terms in AI Fundamentals
Structural patternA recognizable shape in speech, such as a list or a comparison.SuperfectaBrett Hurt's term for the convergence of AI, quantum computing, robotics, and brain computer interfaces.SuperintelligenceAI that exceeds human intelligence across most domains.Supervised Fine-Tuning (SFT)The standard technique for specializing a pretrained large language model on a specific task or domain: show the model labeled examples of correct input-output pairs, and train it to reproduce that behavior. SFT requires curated training data, and the quality of that data is the primary bottleneck - not the compute or the base model. Ben Turtle built LightningRod to eliminate this bottleneck for teams that lack the scale, budget, or time to pay human labeling companies like Scale AI or Labelbox to create SFT-ready datasets.SycophancyAn AI's tendency to flatter or agree with users regardless of accuracy.Synthetic dataData generated by algorithms or simulations instead of collected from the real world, often used to train or test models.Synthetic humanA fully generated person with no real human underneath. Distinct from a licensed digital twin, and treated differently in the new SAG-AFTRA language.Synthetic RelationshipA one-to-one connection between a human user and an AI entity designed to feel lifelike.