docs: DOCS-252: Update Prompts for multi-class selection (#6451)

Co-authored-by: caitlinwheeless <[email protected]>

docs/source/guide/prompts_create.md

@@ -15,10 +15,7 @@ date: 2024-06-11 16:53:16
 ## Prerequisites
 
 * An OpenAI API key or an Azure OpenAI key. 
-* A project that meets the following criteria:
-  * Text-based data set (meaning you are annotating text and not image or video files). 
-  * The labeling configuration for the project must be set up to use single-class classification (`choice="single"`). 
-  * (Optional, depending on your [use case](prompts_overview#Use-cases) and if you want to evaluate the accuracy of your prompt): At least one task with a [ground truth annotation](quality#Define-ground-truth-annotations-for-a-project). 
+* A project that meets the [criteria noted below](#Create-a-Prompt). 
 
 ## Model provider API keys
 
@@ -99,11 +96,12 @@ From the Prompts page, click **Create Prompt** in the upper right and then compl
     Target projects must meet the following criteria:
     * The labeling configuration for the project must be compatible with the **Type** you selected above:
         * For text classification, this means that the labeling configuration for the project must use `Choice` tags. 
-        * For NER, this means that the labeling configuration for the project must use `Label` tags. 
-    * The labeling configuration cannot include multi-class classification. This means that setting the  `choice="multiple"` parameter is not supported for either the `<Labels>` or `<Choices>` tags.  
+        * For NER, this means that the labeling configuration for the project must use `Label` tags.  
+    * The project must have one output type (`Choice` or `Label`) and not a mix of both. 
     * The project must include text data. While it can include other data types such as images or video, it must include `<Text>`.
     * You must have access to the project. If you are in the Manager role, you need to be added to the project to have access. 
     * The project cannot be located in your Personal Sandbox workspace. 
+    * While projects connected to an ML backend will still appear in the list of eligible projects, we do not recommend using Prompts with an ML backend. 
 
 ## Types
 

docs/source/guide/prompts_overview.md

@@ -134,12 +134,13 @@ This feedback loop allows you to iteratively fine-tune your prompts, optimizing
 | --- | --- |
 | **Supported data types** | Text |
 | **Supported model types** | Text Classification <br>Named Entity Recognition (NER) |
-| **Class selection** | Single selection (the LLM can apply one label per task)|
+| **Class selection** | Multi-selection (the LLM can apply multiple labels per task)|
 | **Supported base models** | OpenAI gpt-3.5-turbo-16k <br>OpenAI gpt-3.5-turbo-instruct* <br>OpenAI gpt-4-turbo <br>OpenAI gpt-3.5-turbo <br>OpenAI gpt-4o <br>OpenAI gpt-4<br>[Azure OpenAI chat-based models](https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models) |
 | **Text compatibility** | Task text must be utf-8 compatible |
 | **Task size** | Total size of each task can be no more than 1MB (approximately 200-500 pages of text) |
 | **Network access** | If you are using a firewall or restricting network access to your OpenAI models, you will need to allow the following IPs: <br>3.219.3.197 <br>34.237.73.3 <br>4.216.17.242 |
 | **Required permissions** | **Owners, Administrators, Managers** -- Can create Prompt models and update projects with auto-annotations. Managers can only apply models to projects in which they are already a member. <br><br>**Reviewers and Annotators** -- No access to the Prompts tool, but can see the predictions generated by the prompts from within the project (depending on your [project settings](project_settings_lse)).  |
+| **ML backend support** | Prompts should not be used with a project that is connected to an ML backend. |
 | **Enterprise vs. Open Source** | Label Studio Enterprise (Cloud only)|
 
 </div>