Definition
Deep learning
Machine learning that uses neural networks with many layers to learn complex patterns directly from raw data.
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Related terms in AI Fundamentals
Data labelingTagging documents so a model learns what matters in them.Data poisoningAn attack where someone slips corrupted, altered, or mislabeled examples into a model's training data to make it behave badly or carry a hidden backdoor.Dead Internet TheoryThe concept that AI-generated content is increasingly training on other AI-generated content, creating a feedback loop of degraded and homogenized information. Kaelan references it as the backdrop for why original, experience-grounded content increasingly wins.Decision treeA model that makes predictions by asking a series of yes-or-no questions about the data, branching at each step until it reaches an answer.DeepfakeAI-generated video, image, or audio convincing enough to impersonate a real person.DeterministicProduces the same output for the same input every time.Deterministic AI PlatformA software system that ingests structured data inputs and produces consistent, rule-based outputs, as opposed to generative or probabilistic AI responses.Deterministic vs. stochasticDeterministic: run the same computation twice, get the same answer twice. Stochastic: probabilistic output that varies. Hardware demands deterministic. LLMs are stochastic — which is why Encube isolates them from the core math.