Refactor UI text (#3911)

### What problem does this PR solve?

Refactor UI text

### Type of change

- [x] Documentation Update
- [x] Refactoring

Signed-off-by: jinhai <haijin.chn@gmail.com>

docs/guides/deploy_local_llm.mdx

@@ -78,7 +78,7 @@ Ollama is running
 
 ### 4. Add Ollama
 
-In RAGFlow, click on your logo on the top right of the page **>** **Model Providers** and add Ollama to RAGFlow: 
+In RAGFlow, click on your logo on the top right of the page **>** **Model providers** and add Ollama to RAGFlow:
 
 ![add ollama](https://github.com/infiniflow/ragflow/assets/93570324/10635088-028b-4b3d-add9-5c5a6e626814)
 
@@ -101,7 +101,7 @@ Max retries exceeded with url: /api/chat (Caused by NewConnectionError('<urllib3
 
 ### 6. Update System Model Settings
 
-Click on your logo **>** **Model Providers** **>** **System Model Settings** to update your model: 
+Click on your logo **>** **Model providers** **>** **System Model Settings** to update your model:
    
 *You should now be able to find **llama3.2** from the dropdown list under **Chat model**, and **bge-m3** from the dropdown list under **Embedding model**.*
 
@@ -143,7 +143,7 @@ $ xinference launch -u mistral --model-name mistral-v0.1 --size-in-billions 7 --
 ```
 ### 4. Add Xinference
 
-In RAGFlow, click on your logo on the top right of the page **>** **Model Providers** and add Xinference to RAGFlow: 
+In RAGFlow, click on your logo on the top right of the page **>** **Model providers** and add Xinference to RAGFlow:
 
 ![add xinference](https://github.com/infiniflow/ragflow/assets/93570324/10635088-028b-4b3d-add9-5c5a6e626814)
 
@@ -154,7 +154,7 @@ Enter an accessible base URL, such as `http://<your-xinference-endpoint-domain>:
 
 ### 6. Update System Model Settings
 
-Click on your logo **>** **Model Providers** **>** **System Model Settings** to update your model.
+Click on your logo **>** **Model providers** **>** **System Model Settings** to update your model.
    
 *You should now be able to find **mistral** from the dropdown list under **Chat model**.*
 

docs/guides/llm_api_key_setup.md

@@ -20,7 +20,7 @@ If you find your online LLM is not on the list, don't feel disheartened. The lis
 You have two options for configuring your model API key:
 
 - Configure it in **service_conf.yaml.template** before starting RAGFlow.
-- Configure it on the **Model Providers** page after logging into RAGFlow.
+- Configure it on the **Model providers** page after logging into RAGFlow.
 
 ### Configure model API key before starting up RAGFlow
 
@@ -32,7 +32,7 @@ You have two options for configuring your model API key:
 3. Reboot your system for your changes to take effect.
 4. Log into RAGFlow.
    
-   *After logging into RAGFlow, you will find your chosen model appears under **Added models** on the **Model Providers** page.*
+   *After logging into RAGFlow, you will find your chosen model appears under **Added models** on the **Model providers** page.*
 
 ### Configure model API key after logging into RAGFlow
 
@@ -40,9 +40,9 @@ You have two options for configuring your model API key:
 After logging into RAGFlow, configuring your model API key through the **service_conf.yaml.template** file will no longer take effect.
 :::
 
-After logging into RAGFlow, you can *only* configure API Key on the **Model Providers** page:
+After logging into RAGFlow, you can *only* configure API Key on the **Model providers** page:
 
-1. Click on your logo on the top right of the page **>** **Model Providers**.
+1. Click on your logo on the top right of the page **>** **Model providers**.
 2. Find your model card under **Models to be added** and click **Add the model**:
    ![add model](https://github.com/infiniflow/ragflow/assets/93570324/07e43f63-367c-4c9c-8ed3-8a3a24703f4e)
 3. Paste your model API key.

docs/guides/start_chat.md

@@ -21,7 +21,7 @@ You start an AI conversation by creating an assistant.
    - **Empty response**:
      - If you wish to *confine* RAGFlow's answers to your knowledge bases, leave a response here. Then, when it doesn't retrieve an answer, it *uniformly* responds with what you set here.
      - If you wish RAGFlow to *improvise* when it doesn't retrieve an answer from your knowledge bases, leave it blank, which may give rise to hallucinations.
-   - **Show Quote**: This is a key feature of RAGFlow and enabled by default. RAGFlow does not work like a black box. instead, it clearly shows the sources of information that its responses are based on.
+   - **Show quote**: This is a key feature of RAGFlow and enabled by default. RAGFlow does not work like a black box. instead, it clearly shows the sources of information that its responses are based on.
    - Select the corresponding knowledge bases. You can select one or multiple knowledge bases, but ensure that they use the same embedding model, otherwise an error would occur.
 
 3. Update **Prompt Engine**:
@@ -35,7 +35,7 @@ You start an AI conversation by creating an assistant.
 4. Update **Model Setting**:
 
    - In **Model**: you select the chat model. Though you have selected the default chat model in **System Model Settings**, RAGFlow allows you to choose an alternative chat model for your dialogue.
-   - **Freedom** refers to the level that the LLM improvises. From **Improvise**, **Precise**, to **Balance**, each freedom level corresponds to a unique combination of **Temperature**, **Top P**, **Presence Penalty**, and **Frequency Penalty**.
+   - **Freedom** refers to the level that the LLM improvises. From **Improvise**, **Precise**, to **Balance**, each freedom level corresponds to a unique combination of **Temperature**, **Top P**, **Presence penalty**, and **Frequency penalty**.
    - **Temperature**: Level of the prediction randomness of the LLM. The higher the value, the more creative the LLM is.
    - **Top P** is also known as "nucleus sampling". See [here](https://en.wikipedia.org/wiki/Top-p_sampling) for more information.
    - **Max Tokens**: The maximum length of the LLM's responses. Note that the responses may be curtailed if this value is set too low.

docs/quickstart.mdx

@@ -235,7 +235,7 @@ RAGFlow also supports deploying LLMs locally using Ollama, Xinference, or LocalA
 
 To add and configure an LLM: 
 
-1. Click on your logo on the top right of the page **>** **Model Providers**:
+1. Click on your logo on the top right of the page **>** **Model providers**:
 
    ![add llm](https://github.com/infiniflow/ragflow/assets/93570324/10635088-028b-4b3d-add9-5c5a6e626814)