[Docs] Update documentation URL to https://llm.mlc.ai (#962)

.github/ISSUE_TEMPLATE/config.yml

@@ -2,7 +2,7 @@ blank_issues_enabled: false
 
 contact_links:
   - name: Check the MLC-LLM Documentation
-    url: https://mlc.ai/mlc-llm/docs/
+    url: https://llm.mlc.ai/
     about: Our documentation might provide answers to your questions.
   - name: Chat on Discord
     url: https://discord.gg/9Xpy2HGBuD

.github/ISSUE_TEMPLATE/documentation.md

@@ -1,6 +1,6 @@
 ---
 name: "\U0001F4DA Documentation"
-about: Report an issue related to https://mlc.ai/mlc-llm/docs
+about: Report an issue related to https://llm.mlc.ai
 title: '[Doc] '
 labels: ['documentation']
 assignees: ''

.github/ISSUE_TEMPLATE/model-request.md

@@ -10,7 +10,7 @@ assignees: ''
 ## ⚙️  Request New Models
 
 - Link to an existing implementation (e.g. Hugging Face/Github): <!-- Link to the model -->
-- Is this model architecture supported by MLC-LLM? (the list of [supported models](https://mlc.ai/mlc-llm/docs/prebuilt_models.html)) <!-- Yes/No -->
+- Is this model architecture supported by MLC-LLM? (the list of [supported models](https://llm.mlc.ai/prebuilt_models.html)) <!-- Yes/No -->
 
 ## Additional context
 

README.md

@@ -2,7 +2,7 @@
 
 # MLC LLM
 
-[Project Page](https://mlc.ai/mlc-llm/) | [Documentation](https://mlc.ai/mlc-llm/docs/) | [Blog](https://mlc.ai/blog/2023/05/01/bringing-accelerated-llm-to-consumer-hardware) | [WebLLM](https://webllm.mlc.ai/) | [WebStableDiffusion](https://websd.mlc.ai/) | [Discord][discord-url]
+[Project Page](https://mlc.ai/mlc-llm/) | [Documentation](https://llm.mlc.ai/) | [Blog](https://mlc.ai/blog/2023/05/01/bringing-accelerated-llm-to-consumer-hardware) | [WebLLM](https://webllm.mlc.ai/) | [WebStableDiffusion](https://websd.mlc.ai/) | [Discord][discord-url]
 
 MLC LLM is a **universal solution** that allows **any language models** to be **deployed natively** on a diverse set of hardware backends and native applications, plus a **productive framework** for everyone to further optimize model performance for their own use cases.
 
@@ -17,7 +17,7 @@ Everything runs locally  with no server support and accelerated with local GPUs
 * NVIDIA GPUs via CUDA on Windows and Linux;
 * WebGPU on browsers (through companion project [WebLLM](https://github.com/mlc-ai/web-llm/tree/main)).
 
-<ins>**[Check out our instruction page to try out!](https://mlc.ai/mlc-llm/docs/get_started/try_out.html)**</ins>
+<ins>**[Check out our instruction page to try out!](https://llm.mlc.ai/get_started/try_out.html)**</ins>
 
 <p align="center">
   <img src="site/gif/ios-demo.gif" height="700">
@@ -59,7 +59,7 @@ We heavily rely on open-source ecosystem, more specifically, [TVM Unity](https:/
 
 ## Get Started with MLC-LLM
 
-Please check our [documentation](https://mlc.ai/mlc-llm/docs/get_started/try_out.html) to start the journey with MLC-LLM.
+Please check our [documentation](https://llm.mlc.ai/get_started/try_out.html) to start the journey with MLC-LLM.
 
 ## Links
 

android/README.md

@@ -2,5 +2,5 @@
 
 We are excited to share that we have enabled the Android support for MLC-LLM. Checkout [the instruction page](https://mlc.ai/mlc-llm/#android) for instructions to download and install our Android app. Checkout the [announcing blog post](https://mlc.ai/blog/2023/05/08/bringing-hardware-accelerated-language-models-to-android-devices) for the technical details throughout our process of making MLC-LLM possible for Android.
 
-This folder contains the source code for building Android application of MLC-LLM. Please checkout our [documentation](https://mlc.ai/mlc-llm/docs/deploy/android.html) on how to build and use the MLC-LLM for Android.
+This folder contains the source code for building Android application of MLC-LLM. Please checkout our [documentation](https://llm.mlc.ai/deploy/android.html) on how to build and use the MLC-LLM for Android.
 

cpp/README.md

@@ -1,3 +1,3 @@
 # Use MLC-Compiled Models in C++
 
-This directory contains a C++ project that loads an MLC-compiled model, allowing other projects to interact with the model using C++ API or command line. Please check out the [instructions](https://mlc.ai/mlc-llm/docs/tutorials/runtime/cpp.html) for details.
+This directory contains a C++ project that loads an MLC-compiled model, allowing other projects to interact with the model using C++ API or command line. Please check out the [instructions](https://llm.mlc.ai/tutorials/deploy/cli.html) for details.

ios/MLCSwift/README.md

@@ -1,4 +1,4 @@
 # MLCSwift
 
 This is a simple swift package that exposes the chat module to swift.
-Checkout our [documentation](https://mlc.ai/mlc-llm/docs/) for more examples.
+Checkout our [documentation](https://llm.mlc.ai/) for more examples.

ios/README.md

@@ -1,4 +1,4 @@
 # MLC-LLM IOS
 
 The folder contains the source code for building ios-application of MLC-LLM.
-Please checkout our [documentation](https://mlc.ai/mlc-llm/docs/deploy/ios.html) on how to build and use the MLC-LLM for IOS.
+Please checkout our [documentation](https://llm.mlc.ai/deploy/ios.html) on how to build and use the MLC-LLM for IOS.

python/README.md

@@ -1,3 +1,3 @@
 # MLC-Chat Python Package
 
-This folder contains the source code of MLC-Chat python package, please refer to the [REST API](https://mlc.ai/mlc-llm/docs/deploy/rest.html) and [Python API](https://mlc.ai/mlc-llm/docs/deploy/python.html) documentation for usage.
+This folder contains the source code of MLC-Chat python package, please refer to the [REST API](https://llm.mlc.ai/deploy/rest.html) and [Python API](https://llm.mlc.ai/deploy/python.html) documentation for usage.