Merge branch 'main' into rename-images

examples/ChatQnA/ChatQnA_Guide.rst

@@ -204,16 +204,16 @@ The gateway serves as the interface for users to access. The gateway routes inco
 Deployment
 **********
 
-See the :ref:`chatqna-example-deployment` that includes both single-node and
+Here are some deployment options, including both single-node and
 orchestrated multi-node configurations, and choose the one that best fits your
-requirements.  Here are quick references to the single-node deployment options:
-
-* :doc:`Xeon Scalable Processor <deploy/xeon>`
-* :doc:`Gaudi AI Accelerator <deploy/gaudi>`
-* :doc:`Nvidia GPU <deploy/nvidia>`
-* :doc:`AI PC <deploy/aipc>`
+requirements. 
 
+.. toctree::
+   :maxdepth: 1
 
+   ChatQnA Deployment Options <deploy/index>
+
+----
 
 Troubleshooting
 ***************

examples/CodeGen/CodeGen_Guide.rst

@@ -0,0 +1,45 @@
+.. _Codegen_Guide:
+
+Codegen Sample Guide
+#####################
+
+.. note:: This guide is in its early development and is a work-in-progress with
+   placeholder content.
+
+Overview
+********
+
+The CodeGen example uses specialized AI models that went through training with datasets that 
+encompass repositories, documentation, programming code, and web data. With an understanding 
+of various programming languages, coding patterns, and software development concepts, the 
+CodeGen LLMs assist developers and programmers. The LLMs can be integrated into the developers' 
+Integrated Development Environments (IDEs) to have more contextual awareness to write more 
+refined and relevant code based on the suggestions. 
+
+Purpose
+*******
+* Code Generation: Streamline coding through Code Generation, enabling non-programmers to describe tasks for code creation.
+* Code Completion: Accelerate coding by suggesting contextually relevant snippets as developers type.
+* Code Translation and Modernization: Translate and modernize code across multiple programming languages, aiding interoperability and updating legacy projects.
+* Code Summarization: Extract key insights from codebases, improving readability and developer productivity.
+* Code Refactoring: Offer suggestions for code refactoring, enhancing code performance and efficiency.
+* AI-Assisted Testing: Assist in creating test cases, ensuring code robustness and accelerating development cycles.
+* Error Detection and Debugging: Detect errors in code and provide detailed descriptions and potential fixes, expediting debugging processes.
+
+How It Works
+************
+
+The CodeGen example uses an open-source code generation model with Text Generation Inference (TGI) 
+for serving deployment. It is presented as a Code Copilot application as shown in the diagram below. 
+
+.. figure:: /GenAIExamples/CodeGen/assets/img/codegen_architecture.png
+   :alt: CodeGen Architecture Diagram
+
+Deployment
+**********
+Here are some deployment options, depending on your hardware and environment:
+
+.. toctree::
+   :maxdepth: 1
+
+   CodeGen Deployment Options <deploy/index>

examples/index.rst

@@ -9,9 +9,8 @@ GenAIExamples are designed to give developers an easy entry into generative AI,
    :maxdepth: 1
 
    ChatQnA/ChatQnA_Guide
-   ChatQnA/deploy/index
    AgentQnA/AgentQnA_Guide
-   CodeGen/deploy/index
+   CodeGen/CodeGen_Guide
 
 ----