ML Fundamentals
Closed Model
An AI model like GPT-4 that you can use but not see inside, the recipe and ingredients are secret.
Definition
An AI model whose weights, training data, and architecture are proprietary and not publicly accessible. Users interact only via an API. Examples include GPT-4, Claude, and Gemini.
Why it matters
Often offers highest performance but poses risks regarding data privacy and vendor lock-in.
Related terms in ML Fundamentals
Activation Functions
The "switch" inside a neural network that decides whether a neuron should fire, allowing the AI to learn complex non-linear patterns.
Active Learning
A technique where the AI asks humans to label only the most confusing examples, saving time and money on data labeling.
Anomaly Detection
Finding the "weird" stuff in a dataset, like a credit card charge in a foreign country or a broken machine part.
Artificial General Intelligence (AGI)
A hypothetical "super-AI" that can learn and do any intellectual task a human can do, not just one specific thing.
From vocabulary to outcomes
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