Docs updates

README.md

@@ -29,13 +29,19 @@
 - 🎛️ **Fine Tuning**: Zero-code fine-tuning for Llama, GPT4o, and Mixtral. Automatic serverless deployment of models.
 - 🤖 **Synthetic Data Generation**: Generate training data with our interactive visual tooling.
 - 🤝 **Team Collaboration**: Git-based version control for your AI datasets. Intuitive UI makes it easy to collaborate with QA, PM, and subject matter experts on structured data (examples, prompts, ratings, feedback, issues, etc.).
-- 📝 **Auto-Prompts**: Generate a variety of prompts from your data, including chain-of-thought, few-shot, and multi-shot.
+- 📝 **Prompt Generation**: Automatically generate prompts from your data, including chain-of-thought, few-shot, and multi-shot, and more.
 - 🌐 **Wide Model and Provider Support**: Use any model via Ollama, OpenAI, OpenRouter, Fireworks, Groq, AWS, or any OpenAI compatible API.
 - 🧑‍💻 **Open-Source Library and API**: Our Python library and OpenAPI REST API are MIT open source.
 - 🔒 **Privacy-First**: We can't see your data. Bring your own API keys or run locally with Ollama.
 - 🗃️ **Structured Data**: Build AI tasks that speak JSON.
 - 💰 **Free**: Our apps are free, and our library is open-source.
 
+## Download Kiln Desktop Apps
+
+The Kiln desktop app is completely free. Available on MacOS, Windows and Linux.
+
+[<img width="220" alt="Download button" src="https://github.com/user-attachments/assets/a5d51b8b-b30a-4a16-a902-ab6ef1d58dc0">](https://github.com/Kiln-AI/Kiln/releases/latest)
+
 ## Demo
 
 In this demo, I create 9 fine-tuned models (including Llama 3.x, Mixtral, and GPT-4o-mini) in just 18 minutes, achieving great results for less than $6 total cost. [See details](guides/Fine%20Tuning%20LLM%20Models%20Guide.md).
@@ -44,12 +50,6 @@ In this demo, I create 9 fine-tuned models (including Llama 3.x, Mixtral, and GP
 <img alt="Kiln Preview" src="https://github.com/user-attachments/assets/51db632b-be98-4fc6-a31c-0ba6fd54dcbb">
 </a>
 
-## Download Kiln Desktop Apps
-
-The Kiln desktop app is completely free. Available on MacOS, Windows and Linux.
-
-[<img width="220" alt="Download button" src="https://github.com/user-attachments/assets/a5d51b8b-b30a-4a16-a902-ab6ef1d58dc0">](https://github.com/Kiln-AI/Kiln/releases/latest)
-
 ## Docs & Guides
 
 Kiln is quite intuitive, so we suggest launching the desktop app and diving in. However if you have any questions or want to learn more, our [docs are here to help](https://docs.getkiln.ai).

libs/core/README.md

@@ -39,7 +39,7 @@ The library has a [comprehensive set of docs](https://kiln-ai.github.io/Kiln/kil
   - [Load an Existing Dataset into a Kiln Task Dataset](#load-an-existing-dataset-into-a-kiln-task-dataset)
   - [Using your Kiln Dataset in a Notebook or Project](#using-your-kiln-dataset-in-a-notebook-or-project)
   - [Using Kiln Dataset in Pandas](#using-kiln-dataset-in-pandas)
-- [Advanced Usage](#advanced-usage)
+- [Full API Reference](#full-api-reference)
 
 ## Installation
 
@@ -62,11 +62,14 @@ The Kiln Python library provides a set of Python classes that which help you eas
 
 ### Datamodel Overview
 
+Here's a high level overview of the Kiln datamodel. A project folder will reflect this nested structure:
+
 - Project: a Kiln Project that organizes related tasks
   - Task: a specific task including prompt instructions, input/output schemas, and requirements
     - TaskRun: a sample (run) of a task including input, output and human rating information
-    - DatasetSplit: a frozen collection of task runs divided into train/test/validation splits
     - Finetune: configuration and status tracking for fine-tuning models on task data
+    - Prompt: a prompt for this task
+    - DatasetSplit: a frozen collection of task runs divided into train/test/validation splits
 
 ### Load a Project
 
@@ -197,8 +200,8 @@ final_df = pd.concat(dfs, ignore_index=True)
 print(final_df)
 ```
 
-### Advanced Usage
+## Full API Reference
 
 The library can do a lot more than the examples we've shown here.
 
-See the [docs](https://kiln-ai.github.io/Kiln/kiln_core_docs/index.html) for more information.
+See the full API reference in the [docs](https://kiln-ai.github.io/Kiln/kiln_core_docs/index.html) under the `Submodules` section of the sidebar.

libs/core/kiln_ai/datamodel/__init__.py

@@ -60,6 +60,7 @@
     "TaskRequirement",
     "strict_mode",
     "set_strict_mode",
+    "Prompt",
 ]