docs: update the readme.

README.md

@@ -35,9 +35,16 @@ PM> Install-Package LLamaSharp
 Then, search and install one of the following backends:
 
 ```
-LLamaSharp.Backend.Cpu
-LLamaSharp.Backend.Cuda11
-LLamaSharp.Backend.Cuda12
+LLamaSharp.Backend.Cpu  # cpu for windows, linux and mac
+LLamaSharp.Backend.Cuda11  # cuda11 for windows and linux
+LLamaSharp.Backend.Cuda12  # cuda12 for windows and linux
+LLamaSharp.Backend.MacMetal  # metal for mac
+```
+
+If you would like to use it with [microsoft semantic-kernel](https://github.com/microsoft/semantic-kernel), please search and install the following package:
+
+```
+LLamaSharp.semantic-kernel
 ```
 
 Here's the mapping of them and corresponding model samples provided by `LLamaSharp`. If you're not sure which model is available for a version, please try our sample model.
@@ -49,7 +56,8 @@ Here's the mapping of them and corresponding model samples provided by `LLamaSha
 | v0.2.2 | v0.2.2, v0.2.3 | [WizardLM](https://huggingface.co/TheBloke/wizardLM-7B-GGML/tree/previous_llama_ggmlv2), [Vicuna (filenames without "old")](https://huggingface.co/eachadea/ggml-vicuna-13b-1.1/tree/main) | 63d2046 |
 | v0.3.0, v0.3.1 | v0.3.0, v0.4.0 | [LLamaSharpSamples v0.3.0](https://huggingface.co/AsakusaRinne/LLamaSharpSamples/tree/v0.3.0), [WizardLM](https://huggingface.co/TheBloke/wizardLM-7B-GGML/tree/main) | 7e4ea5b |
 | v0.4.1-preview (cpu only) | v0.4.1-preview | [Open llama 3b](https://huggingface.co/SlyEcho/open_llama_3b_ggml), [Open Buddy](https://huggingface.co/OpenBuddy/openbuddy-llama-ggml)| aacdbd4 |
-| v0.4.2-preview (cpu,cuda11) |v0.4.2-preview | [Llama2 7b](https://huggingface.co/TheBloke/llama-2-7B-Guanaco-QLoRA-GGML)| 332311234a0aa2974b2450710e22e09d90dd6b0b |
+| v0.4.2-preview (cpu,cuda11) |v0.4.2-preview | [Llama2 7b](https://huggingface.co/TheBloke/llama-2-7B-Guanaco-QLoRA-GGML)| 3323112 |
+| v0.5.1 |v0.5.1 | | 6b73ef1 |
 
 Many hands make light work. If you have found any other model resource that could work for a version, we'll appreciate it for opening an PR about it! 😊
 
@@ -150,7 +158,7 @@ Since we are in short of hands, if you're familiar with ASP.NET core, we'll appr
 
 ✅ ASP.NET core Integration
 
-⚠️ Semantic-kernel Integration
+✅ Semantic-kernel Integration
 
 🔳 Fine-tune
 
@@ -158,8 +166,6 @@ Since we are in short of hands, if you're familiar with ASP.NET core, we'll appr
 
 🔳 MAUI Integration
 
-🔳 Follow up llama.cpp and improve performance
-
 ## Assets
 
 Some extra model resources could be found below: