Merge pull request #2 from triton-inference-server/tvarshney_readme_update

updated readme

Author: tanayvarshney

README.md

@@ -2,9 +2,18 @@
 
 For users experiencing the "Tensor in" & "Tensor out" approach to Deep Learning Inference, getting started with Triton can lead to many questions. The goal of this repository is to familiarize users with Triton's features and provide guides and examples to ease migration.
 
-| [Conceptual Guide](Conceptual_Guide/README.md) | [Quick Overview](https://www.youtube.com/watch?v=NQDtfSi5QF4) | [Documentation](https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html) | [Just help me deploy](Quick_Deploy/README.md) |
+| [Conceptual Guide](Conceptual_Guide/README.md) | [Quick Overview](https://www.youtube.com/watch?v=NQDtfSi5QF4) | [Documentation](https://docs.nvidia.com/deeplearning/triton-inference-server/user-guide/docs/index.html) | [Help me deploy](Quick_Deploy/README.md) |
 | ------------ | --------------- | --------------- | ------------ |
 
 ## Navigating Triton Inference Server Resources
 
-## Adding Requests & Making Contributions
+The Triton Inference Server GitHub organization contains multiple repositories housing different features of the Triton Inference Server. The following is not a complete description of all the repositories, but just a simple guide to build intuitive understanding.
+
+* [Server](https://github.com/triton-inference-server/server) is the main Triton Inference Server Repository.
+* [Client](https://github.com/triton-inference-server/client) contains the libraries and examples needed to create Triton Clients
+* [Backend](https://github.com/triton-inference-server/backend) contains the core scripts and utilities to build a new Triton Backend. Any repository containing the word "backend" is either a framework backend or an example for how to create a backend.
+* Tools like [Model Analyzer](https://github.com/triton-inference-server/model_analyzer) and [Model Navigator](https://github.com/triton-inference-server/model_navigator) provide the tooling to either measure performance, or to simplify model acceleration.
+
+## Adding Requests
+
+Open an issue and specify details for adding a request for an example. Want to make a contribution? Open a pull request and tag an Admin.