From 37e71215897a502f25a5a417b78b6819387a824b Mon Sep 17 00:00:00 2001 From: Grigori Fursin Date: Sun, 24 Nov 2024 23:22:14 +0100 Subject: [PATCH] clean up --- README.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 5ff26b532..beb737a0e 100755 --- a/README.md +++ b/README.md @@ -11,19 +11,16 @@ ### About -[Collective Knowledge (CK)](https://cKnowledge.org) in an educational project -to help researchers and engineers automate their repetitive, tedious and time-consuming tasks -to build, run, benchmark and optimize AI, ML and other applications and systems -across diverse and continuously changing models, data, software and hardware. +[Collective Knowledge (CK, CM, CM4MLOps, CM4MLPerf and CMX)](https://cKnowledge.org) +is an educational community project to learn how to run AI, ML and other emerging workloads +in the most efficient and cost-effective way across diverse models, data sets, software and hardware. CK consists of several sub-projects: * [Collective Mind framework (CM)](cm) - a very lightweight Python-based framework with minimal dependencies - to help users implement, share and reuse cross-platform automation recipes to - build, benchmark and optimize applications on any platform - with any software and hardware. - - * [CM interface to run MLPerf inference benchmarks](https://docs.mlcommons.org/inference) + intended to help researchers and engineers automate their repetitive, tedious and time-consuming tasks + to build, run, benchmark and optimize AI, ML and other applications and systems + across diverse and continuously changing models, data, software and hardware. * [CM4MLOPS](https://github.com/mlcommons/cm4mlops) - a collection of portable, extensible and technology-agnostic automation recipes @@ -31,6 +28,9 @@ CK consists of several sub-projects: on diverse platforms with any software and hardware: see [online catalog at CK playground](https://access.cknowledge.org/playground/?action=scripts), [online MLCommons catalog](https://docs.mlcommons.org/cm4mlops/scripts) + * [CM interface to run MLPerf inference benchmarks](https://docs.mlcommons.org/inference) + + * [CM4ABTF](https://github.com/mlcommons/cm4abtf) - a unified CM interface and automation recipes to run automotive benchmark across different models, data sets, software and hardware from different vendors.