From cebad1c7ceec822953e7d4686b4778b77a3058e9 Mon Sep 17 00:00:00 2001 From: David Jurado Date: Fri, 2 Aug 2024 11:47:27 -0500 Subject: [PATCH] add minified benchmarks documentation --- docs/minified-benchmarks/introduction.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/docs/minified-benchmarks/introduction.md b/docs/minified-benchmarks/introduction.md index 39396a9..23d0e96 100644 --- a/docs/minified-benchmarks/introduction.md +++ b/docs/minified-benchmarks/introduction.md @@ -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