RS Glossary
Batch
A batch is a group of examples or requests processed together, often to make training or inference more efficient.
- Review state
- Reviewed in POC
- Freshness
- Current
- Version
- 2
- Batch
- Training Batch
Remember it this wayOne batch, one parameter update.
In plain language
A batch is the set of examples a training process handles before it updates a model’s parameters. Batch size is the number of examples in that set.
Why it matters
Batch size affects memory use, training speed, and the variability of each update. It is a training choice, not just a way to organize files.
Example
With a batch size of 32, the system processes 32 training examples, calculates their combined loss, and then updates the model once.
Common misconception
A batch is not the entire dataset unless full-batch training is being used. Most modern training uses many smaller batches during each epoch.
Related terms
Sources
- Google for Developers, “Machine Learning Glossary”provides established boundaries for core machine-learning vocabulary.
Learn more
- Compare [[training|Training]], [[epoch|Epoch]], [[dataset|Dataset]], and [[loss-function|Loss Function]] to place Batch in the surrounding system.
- Follow the cited source material above for the method, standard, or research context behind this draft.
Public history
23 recorded events · 23 public summaries
A potential shared concept was discussed and selected for initial glossary drafting.
The captured candidate received a complete initial draft and entered section-level human review.
Radar reviewed the initial definition draft for human consideration.
Radar reviewed the initial plain-language-explanation draft for human consideration.
Radar reviewed the initial why-it-matters draft for human consideration.
Radar reviewed the initial example draft for human consideration.
Radar reviewed the initial common-misconception draft for human consideration.
Radar reviewed the initial remember-it-this-way draft for human consideration.
Radar reviewed the initial related-terms draft for human consideration.
Radar reviewed the initial sources draft for human consideration.
Radar reviewed the initial learn-more draft for human consideration.
Definition review recorded as approve.
Plain-Language Explanation review recorded as approve.
Why It Matters review recorded as approve.
Example review recorded as approve.
Common Misconception review recorded as approve.
Remember It This Way review recorded as approve.
Related Terms review recorded as approve.
Sources review recorded as approve.
Learn More review recorded as approve.
Sources review recorded as replace.
Radar verified the learner-facing sources after personal origin provenance was removed.
All nine current wording approvals were reconciled to Approved term status.
Source: vault/Glossary/terms/batch/term.md · sha256:08dac5c6a30f0dee7c05bb82f5d60893edc78408f4d0f7176b6a8d4c557f7628 · Release: rs-glossary-glossary-team-poc-0.5.5-2026-09-02