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add minified benchmarks documentation
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davidjurado committed Aug 2, 2024
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6 changes: 3 additions & 3 deletions docs/minified-benchmarks/introduction.md
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Expand Up @@ -6,9 +6,9 @@ A minified benchmark is a reduced version of a MLCommons training benchmark desi

The main advantages of these minified benchmarks are:

**Faster Execution**: Minified benchmarks are quicker to run (between 10 to 15 mintues), allowing for faster iteration and validation.
**Easier implementation**: By using MLCube users don't need to worry about installing everything from scratch.
**Reference preparation**: Minified benchmarks could be used as an introductory step for users interested in executing the MLCommons reference benchmarks.
- **Faster Execution**: Minified benchmarks are quicker to run (between 10 to 15 mintues), allowing for faster iteration and validation.
- **Easier implementation**: By using MLCube users don't need to worry about installing everything from scratch.
- **Reference preparation**: Minified benchmarks could be used as an introductory step for users interested in executing the MLCommons reference benchmarks.

## List of Minified Benchmarks

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