ML Fundamentals
Turing Test
A test where a human chats with an AI and tries to tell if it's a machine, if they can't tell, the AI "passes."
Definition
A test of machine intelligence proposed by Alan Turing in 1950. A machine passes if a human evaluator cannot reliably distinguish it from a human in natural language conversation.
Why it matters
While no longer the primary benchmark for AI capability, it remains a cultural touchstone for measuring AI progress.
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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