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Shapes and dots enter a model containing a neural network above a dense field of small learned values. Four training gears feed back into that value field while a green star emerges as output.
Reviewed visual · version 1

RS Glossary

Parameters

Parameters are the adjustable numerical values a model uses to transform inputs into outputs; many are learned during training.

Review state
Reviewed in POC
Freshness
Current
Version
2
  • Parameters
  • Model Parameters

Remember it this wayParameters are the model's adjustable internal values.

In plain language

Training changes model parameters so the system performs better according to its training objective. Parameter count describes one aspect of model size, not the quality of the whole system.

Why it matters

Parameter counts are often used in product comparisons, but architecture, data, training, tools, and evaluation can matter as much or more for a specific task.

Example

A model described as having billions of parameters contains billions of adjustable values distributed across its learned structure.

Common misconception

More parameters do not automatically mean a model is more accurate, safer, more efficient, or better suited to a particular use.

Related terms

Sources

Learn more

  • Relate parameter count to [[weights|Weights]] and efficiency work such as [[model-distillation|Model Distillation]].

Public history

45 recorded events · 45 public summaries

  1. A potential shared concept was discussed and selected for initial glossary drafting.

  2. The captured candidate received a complete initial draft and entered section-level human review.

  3. Radar reviewed the initial definition draft for human consideration.

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  12. A proposal was opened for section-level human review while preserving the current version.

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  14. definition approved by a human reviewer.

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  16. why-it-matters approved by a human reviewer.

  17. example approved by a human reviewer.

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  21. sources returned for revision.

  22. learn-more approved by a human reviewer.

  23. Requested wording was prepared without changing approved or existing sections.

  24. Radar reviewed the pending sources section for human consideration.

  25. Radar must rereview the complete parameters term after an accepted text change.

  26. Radar must rereview the complete parameters term after an accepted text change.

  27. Radar must rereview the complete parameters term after an accepted text change.

  28. Radar must rereview the complete parameters term after an accepted text change.

  29. Radar must rereview the complete parameters term after an accepted text change.

  30. Radar must rereview the complete parameters term after an accepted text change.

  31. Radar must rereview the complete parameters term after an accepted text change.

  32. Radar must rereview the complete parameters term after an accepted text change.

  33. Radar must rereview the complete parameters term after an accepted text change.

  34. sources approved by a human reviewer.

  35. sources approved wording became the current section text.

  36. All section gates are approved; content version 2 is now a fully approved term.

  37. Radar rereviewed the human-approved definition wording for this exact version.

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  45. Radar rereviewed the human-approved learn-more wording for this exact version.

Source: vault/Glossary/terms/parameters/term.md · sha256:d499d3db6f01ea834b5e3baa99eab6010aafafac243031186d8be82744771d75 · Release: rs-glossary-glossary-team-poc-0.5.5-2026-09-02