Update README.md

Author: arjunsuresh

README.md

@@ -23,12 +23,9 @@ Starting **January 2025**, MLPerf automation scripts are built on the powerful [
 
 ## 🧰 MLCFlow (MLC) Automations
 
-Building on the foundation of its predecessor, the **Collective Mind (CM)** framework, MLCFlow takes ML workflows to the next level by streamlining complex tasks like Docker container management and caching. The `mlcflow` package, written in Python, provides seamless support through both a command-line interface (CLI) and an API, making it easy to access and manage automation scripts.
-
-### Core Automations
-- **Script Automation** – Automates script execution across different environments.
-- **Cache Management** – Manages reusable cached results to accelerate workflow processes.
+Building upon the robust foundation of its predecessor, the Collective Mind (CM) framework, MLCFlow elevates machine learning workflows by simplifying complex tasks such as Docker container management and caching. Written in Python, the mlcflow package offers a versatile interface, supporting both a user-friendly command-line interface (CLI) and a flexible API for effortless automation script management.
 
+At its core, MLCFlow relies on a single powerful automation, the Script, which is extended by two actions: CacheAction and DockerAction. Together, these components provide streamlined functionality to optimize and enhance your ML workflow automation experience.
 
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@@ -40,10 +37,17 @@ We welcome contributions from the community! To contribute:
 
 Your contributions help drive the project forward!
 
+
+---
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+## 💬 Join the Discussion  
+Connect with us on the [MLCommons Benchmark Infra Discord channel](https://discord.gg/T9rHVwQFNX) to engage in discussions about **MLCFlow** and **MLPerf Automations**. We’d love to hear your thoughts, questions, and ideas!  
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-## 📰 News
-Stay tuned for upcoming updates and announcements.
+## 📰 Stay Updated  
+Keep track of the latest development progress and tasks on our [MLPerf Automations Development Board](https://github.com/orgs/mlcommons/projects/50/views/7?sliceBy%5Bvalue%5D=_noValue).  
+Stay tuned for exciting updates and announcements!  
 
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