edit pass: prompt-flow-tools_batch1

Author: paulth1

articles/ai-studio/how-to/prompt-flow-tools/llm-tool.md

@@ -17,7 +17,7 @@ author: lgayhardt
 
 [!INCLUDE [Azure AI Studio preview](../../includes/preview-ai-studio.md)]
 
-To use large language models (LLMs) for natural language processing, you use the prompt flow *LLM* tool.
+To use large language models (LLMs) for natural language processing, you use the prompt flow LLM tool.
 
 > [!NOTE]
 > For embeddings to convert text into dense vector representations for various natural language processing tasks, see [Embedding tool](embedding-tool.md).

articles/ai-studio/how-to/prompt-flow-tools/prompt-flow-tools-overview.md

@@ -32,14 +32,16 @@ The following table provides an index of tools in prompt flow.
 | [Serp API](./serp-api-tool.md) | Use Serp API to obtain search results from a specific search engine. | Default | [promptflow-tools](https://pypi.org/project/promptflow-tools/) |
 | [Azure AI Language tools*](https://microsoft.github.io/promptflow/integrations/tools/azure-ai-language-tool.html) | This collection of tools is a wrapper for various Azure AI Language APIs, which can help effectively understand and analyze documents and conversations. The capabilities currently supported include Abstractive Summarization, Extractive Summarization, Conversation Summarization, Entity Recognition, Key Phrase Extraction, Language Detection, PII Entity Recognition, Conversational PII, Sentiment Analysis, Conversational Language Understanding, and Translator. You can learn how to use them by the [Sample flows](https://github.com/microsoft/promptflow/tree/e4542f6ff5d223d9800a3687a7cfd62531a9607c/examples/flows/integrations/azure-ai-language). Support contact: [email protected] | Custom | [promptflow-azure-ai-language](https://pypi.org/project/promptflow-azure-ai-language/) |
 
-_*The asterisks indicate custom tools that the community created. Custom tools extend prompt flow's capabilities for specific use cases. The prompt flow team doesn't officially maintain or endorse these tools. When you encounter questions or issues for these tools, prioritize by using the support contact if the description provides it._
+*The asterisks indicate custom tools that the community created. Custom tools extend prompt flow's capabilities for specific use cases. The prompt flow team doesn't officially maintain or endorse these tools. When you encounter questions or issues for these tools, prioritize by using the support contact if the description provides it.
 
 To discover more custom tools developed by the open-source community, see [More custom tools](https://microsoft.github.io/promptflow/integrations/tools/index.html).
 
 ## Remarks
+
 - If existing tools don't meet your requirements, you can [develop your own custom tool and make a tool package](https://microsoft.github.io/promptflow/how-to-guides/develop-a-tool/create-and-use-tool-package.html).
 - To install the custom tools, if you're using the automatic runtime, you can readily install the publicly released package by adding the custom tool package name in the `requirements.txt` file in the flow folder. Then select **Save and install** to start installation. After completion, the custom tools appear in the tool list. If you want to use a local or private feed package, build an image first, and then set up the runtime based on your image. To learn more, see [How to create and manage a runtime](../create-manage-runtime.md).
-:::image type="content" source="../../media/prompt-flow/install-package-on-automatic-runtime.png" alt-text="Screenshot that shows how to install packages on automatic runtime."lightbox = "../../media/prompt-flow/install-package-on-automatic-runtime.png":::
+
+   :::image type="content" source="../../media/prompt-flow/install-package-on-automatic-runtime.png" alt-text="Screenshot that shows how to install packages on automatic runtime."lightbox = "../../media/prompt-flow/install-package-on-automatic-runtime.png":::
 
 ## Next steps
 

articles/ai-studio/how-to/prompt-flow-tools/prompt-tool.md

@@ -17,7 +17,7 @@ author: lgayhardt
 
 [!INCLUDE [Azure AI Studio preview](../../includes/preview-ai-studio.md)]
 
-The prompt flow *Prompt* tool offers a collection of textual templates that serve as a starting point for creating prompts. These templates, based on the [Jinja](https://jinja.palletsprojects.com/en/3.1.x/) template engine, facilitate the definition of prompts. The tool proves useful when prompt tuning is required before the prompts are fed into the large language model (LLM) in the prompt flow.
+The prompt flow Prompt tool offers a collection of textual templates that serve as a starting point for creating prompts. These templates, based on the [Jinja](https://jinja.palletsprojects.com/en/3.1.x/) template engine, facilitate the definition of prompts. The tool proves useful when prompt tuning is required before the prompts are fed into the large language model (LLM) in the prompt flow.
 
 ## Prerequisites
 

articles/ai-studio/how-to/prompt-flow-tools/python-tool.md

@@ -16,7 +16,7 @@ author: lgayhardt
 
 [!INCLUDE [Azure AI Studio preview](../../includes/preview-ai-studio.md)]
 
-The prompt flow *Python* tool offers customized code snippets as self-contained executable nodes. You can quickly create Python tools, edit code, and verify results.
+The prompt flow Python tool offers customized code snippets as self-contained executable nodes. You can quickly create Python tools, edit code, and verify results.
 
 ## Build with the Python tool
 
@@ -46,8 +46,8 @@ The list of inputs change based on the arguments of the tool function, after you
 
 | Name   | Type   | Description                                          | Required |
 |--------|--------|------------------------------------------------------|---------|
-| Code   | string | Python code snippet                                  | Yes     |
-| Inputs | -      | List of the tool function parameters and its assignments | -       |
+| Code   | string | The Python code snippet.                                  | Yes     |
+| Inputs | -      | The list of the tool function parameters and its assignments. | -       |
 
 ## Outputs
 
@@ -102,7 +102,7 @@ def my_python_tool(message: str) -> str:
     return 'hello ' + message
 ```
 
-## Consume custom connection in the Python tool
+## Consume a custom connection in the Python tool
 
 If you're developing a Python tool that requires calling external services with authentication, you can use the custom connection in a prompt flow. It allows you to securely store the access key and then retrieve it in your Python code.
 
@@ -124,7 +124,7 @@ Create a custom connection that stores all your large language model API key or
 
     :::image type="content" source="../../media/prompt-flow/custom-connection-keys.png" alt-text="Screenshot that shows adding extra information to a custom connection in AI Studio." lightbox = "../../media/prompt-flow/custom-connection-keys.png":::
 
-### Consume custom connection in Python
+### Consume a custom connection in Python
 
 To consume a custom connection in your Python code: