Lesson 1525 of 2116
Quantization fundamentals: bits, accuracy, and serving cost
Lower-precision weights cut memory and latency — sometimes at meaningful accuracy cost, depending on the task.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2int8
- 3int4
- 4perplexity gap
Concept cluster
Terms to connect while reading
Section 1
The premise
Quantization is one of the cheapest serving wins available; the cost shows up unevenly across tasks and you must measure to know.
What AI does well here
- Compare 8-bit and 4-bit quantization trade-offs at intuition level.
- Design an accuracy-vs-cost evaluation across your real workload.
What AI cannot do
- Predict accuracy loss without measuring on your data.
- Substitute for end-to-end latency testing.
Key terms in this lesson
End-of-lesson quiz
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