AI Terminology

Fan-in refers to the number of inputs that a particular element in a system can handle, often used in neural networks.

A formal language is a set of strings of symbols governed by specific syntactic rules, used in mathematics and computer science.

The mantissa is the significant part of a floating-point number, representing its precision.

Medium Vocabulary refers to a level of language complexity appropriate for general comprehension with some technical terminology.

Not a Number (NaN) represents an undefined or unrepresentable value in computing.

A novel word refers to a newly coined term or expression that emerges in language usage.

An object reference is a pointer to an object in memory, allowing access and manipulation of that object in programming.

A one-tailed test determines if a sample mean is significantly greater or less than a known value in hypothesis testing.

An output vector is a numerical representation produced by an AI model as a result of processing input data.

A parsing error occurs when a program fails to interpret input data correctly, often due to syntax issues.

A prompt slot refers to a designated area for inputting queries or commands in AI systems.

A prompt variable is a placeholder in an AI prompt that can be replaced with specific data or parameters.

The residual stream refers to the leftover data from AI models after processing input information.