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Vocabulary

Understand the term. Connect the concept.

A practical dictionary of 512 AI, machine learning, mathematics, and programming terms from HerbDev’s AI Vocabulary app. Start with a definition, explore an example, then follow the concepts behind it.

Linked concepts open in a new tab. Audio reads the definition and example.

Quantization

Deployment & Inference · Level 3 of 5

Quantization

Representing values with fewer discrete levels or lower precision.

Reduced precision can save memory and compute but may change accuracy.

Example

Model weights are stored using eight-bit integers.

Listen to the definition and example

Audio transcript

Quantization. Representing values with fewer discrete levels or lower precision. Reduced precision can save memory and compute but may change accuracy. For example: Model weights are stored using eight-bit integers.

Explore this concept

A useful analogy

Rounding precise measurements to a smaller set of marks on a ruler.

Why it matters

This helps you balance prediction quality with memory, latency, and throughput.

Technical detail

An affine integer scheme approximates x with s(q−z), where s is a scale and z a zero point. Rounding and clipping introduce error.

Common misconception

Fewer bits do not guarantee faster execution without supporting kernels.

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Related concepts

Quick recall question

Try answering before looking back at the definition.

Put the terminology into context: How AI works · Machine-native representations · All learning paths

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