add docs

Author: zRzRzRzRzRzRzR

docs/01-Intro.md

@@ -3,20 +3,20 @@ slug: /
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 # Introduction
-CogKit is a powerful framework for working with cognitive AI models, focusing on multimodal generation and fine-tuning capabilities. It provides a unified interface for various AI tasks including text-to-image, text-to-video, and image-to-video generation.
 
-<!-- TODO: key features? -->
+CogKit is a powerful framework for working with ZhipuAI Cog Series models, focusing on multimodal generation and fine-tuning capabilities. 
+It provides a unified interface for various AI tasks including text-to-image, text-to-video, and image-to-video generation.
+
 ## Key Features
 
 - **Command-line Interface**: Easy-to-use CLI and Python API for both inference and fine-tuning
-
-- **Fine-tuning Support**: With LoRA or full model finetuning support to customize models with your own data
+- **Fine-tuning Support**: With LoRA or full model fine-tuning support to customize models with your own data
 
 ## Supported Models
 
 Please refer to the [Model Card](./05-Model%20Card.mdx) for more details.
 
-## Troubleshooting & Disscussion
+## Roadmap
 
-<!-- FIXME: add link to the issues pages -->
-For more detailed troubleshooting (bug related issues), please refer to our GitHub issues page.
+- [ ] Add support for CogView4 ControlNet model
+- [ ] Docker Image for easy deployment