Positional Encoding
Definition
Position encoding makes the order of elements recognizable to models.
Additional information with which a sequence model maps order or relative position of elements.
Simply explained
Words receive additional position cues so that their order is not lost.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
Possible example: A model supplements text blocks with position information so that it can distinguish their order in the input.
Limits and pitfalls
- Treating all variants as interchangeable or ignoring maximum training length.
Origin & history
The 2017 Transformer used sinusoidal and learned position encodings; many variants followed.
Use in mid-sized companies
- Possible application: Tokens receive position information so that word order remains distinguishable.
Frequently asked questions
What does position encoding mean?
Additional information with which a sequence model maps order or relative position of elements. What mistakes should be avoided? Treating all variants as interchangeable or ignoring maximum training length.
Sources
Source verified on 10.10.2026. Editorial application examples are hypothetical; no proof of real customer results.
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