Update README.md

README.md

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 > Open-source test generation SDK for LLM applications.
+ 
 
-Rhesis enables AI developers to access curated test sets and generate dynamic ones for LLM applications. It provides tools to tailor validations to your needs and integrate seamlessly to keep your Gen AI robust, reliable & compliant.
+Rhesis AI provides curated and dynamically generated test sets to evaluate LLM applications under diverse conditions. These datasets help assess robustness, reliability, and compliance in real-world scenarios.  
 
-### How to Use Our Datasets
+### Using Our Datasets  
 
-Rhesis AI provides a [SDK on Github](https://github.com/rhesis-ai/rhesis-sdk) and curated selection of datasets for testing LLM applications. These datasets are designed to evaluate the behavior of different types of LLM applications under various conditions. To get started, explore our datasets on Hugging Face, select the relevant test set for your needs, and begin evaluating your applications. 
+Our datasets are designed to test various aspects of LLM application behavior, from reliability to safety and bias detection. To get started:  
 
-For more information on how to integrate Rhesis AI into your LLM application testing process, or to inquire about custom test sets, feel free to explore our [Rhesis SDK on Github](https://github.com/rhesis-ai/rhesis-sdk) or reach out to us at: hello@rhesis.ai.
+1. Browse the available test sets here on Hugging Face.  
+2. Select the dataset that aligns with your evaluation needs.  
+3. Load and apply the test cases to assess your application’s behavior.  
 
+For more advanced testing and seamless integration, the [Rhesis SDK](https://github.com/rhesis-ai/rhesis-sdk) provides tools to automate dataset handling, generate structured test cases, and streamline evaluation workflows.  
 
-## Features
+## Key Features  
 
-The Rhesis SDK currently provides functionality to work with Rhesis test sets through routine operations:
+- **Curated Test Sets** – Pre-built datasets covering diverse evaluation criteria.  
+- **Dynamic Test Generation** – Generate custom test sets tailored to specific use cases.  
+- **Scalability** – Use datasets for one-off evaluations or integrate them into automated testing pipelines.  
 
-- **List Test Sets**: Browse through available curated test sets
-- **Load Test Sets**: Load specific test sets for your use case
-- **Download Test Sets**: Download test set data for offline use
-- **Generate Test Sets**: Generate new test sets from basic prompts
+For questions or custom datasets, reach out at **[email protected]**.  
 
 ### Example Use Cases:
 
@@ -61,7 +64,7 @@ The Rhesis SDK currently provides functionality to work with Rhesis test sets th
 
 ### Disclaimer
 
-Our test sets are designed to rigorously evaluate LLM applications across various dimensions, including bias, safety, and security. Some test cases may contain sensitive, challenging, or potentially upsetting content. These cases are included to ensure thorough and realistic assessments. Users should review test cases carefully and exercise discretion when utilizing them.
+Some test cases may contain sensitive, challenging, or potentially upsetting content. These cases are included to ensure thorough and realistic assessments. Users should review test cases carefully and exercise discretion when utilizing them.
 
 ### Visit Us  
 For more details about our testing platform, datasets, and solutions, including the Rhesis AI SDK, visit [Rhesis AI](https://www.rhesis.ai/).