summary, description

summary, description

Author: CHECA3

content/tools/tool3/index.md

@@ -1,6 +1,7 @@
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-title:  MUSE
-summary:  AI-driven Metamorphic Testing Inputs Generator.  #[GitHub](https://github.com/Trust4AI/MUSE) # SHORT DESCRIPTION
+title:  MUSE. AI-driven Metamorphic Testing Inputs Generator
+summary:  MUSE generates test inputs for testing the bias of AI-enabled Search Engines. It leverages the capabilities of Large Language Models (LLMs) to create a wide range of source and follow-up test cases. This tool complements GENIE, which manages communication with LLMs, and GUARD-ME, which checks for bias in responses from the systems under test.
+#[GitHub](https://github.com/Trust4AI/MUSE) # SHORT DESCRIPTION
 
 
 links:
@@ -16,4 +17,6 @@ publication_types:
 
 ---
 
+MUSE generates test inputs for testing the bias of AI-enabled Search Engines. It leverages the capabilities of Large Language Models (LLMs) to create a wide range of source and follow-up test cases. This tool complements GENIE, which manages communication with LLMs, and GUARD-ME, which checks for bias in responses from the systems under test.
 
+Integration options include a Docker image that launches a REST API with interactive documentation, simplifying its use and integration into various systems. MUSE is part of the Trust4AI research project.

content/tools/tool4/index.md

@@ -1,6 +1,7 @@
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-title:  GUARD-ME
-summary:  AI-guided Evaluator for Bias Detection using Metamorphic Testing.  #[GitHub](https://github.com/Trust4AI/GUARD-ME) # SHORT DESCRIPTION
+title:  GUARD-ME. AI-guided Evaluator for Bias Detection using Metamorphic Testing
+summary: GUARD-ME evaluates bias in AI-enabled search engines by evaluating the responses to the source and follow-up test cases. It utilizes Large Language Models (LLMs) to detect any bias and ensure that these systems adhere to ethical standards. This tool is complementary to MUSE, which generates the test cases used, and GENIE, which facilitates communication with LLMs.
+#[GitHub](https://github.com/Trust4AI/GUARD-ME) # SHORT DESCRIPTION
 
 links:
   - icon: github 
@@ -15,4 +16,6 @@ publication_types:
 
 ---
 
+GUARD-ME evaluates bias in AI-enabled search engines by evaluating the responses to the source and follow-up test cases. It utilizes Large Language Models (LLMs) to detect any bias and ensure that these systems adhere to ethical standards. This tool is complementary to MUSE, which generates the test cases used, and GENIE, which facilitates communication with LLMs.
 
+Integration options include a Docker image that launches a REST API with interactive documentation, simplifying its use and integration into various systems. GUARD-ME is part of the Trust4AI research project.

content/tools/tool5/index.md

@@ -1,6 +1,7 @@
 ---
-title:  GENIE
-summary:  Natural Language Enquiry Executor. #[GitHub](https://github.com/Trust4AI/GENIE) # SHORT DESCRIPTION
+title:  GENIE. Natural Language Enquiry Executor
+summary:  GENIE facilitates the deployment and execution of Large Language Models (LLMs). This tool is specifically designed to integrate with MUSE, which generates test cases following a Metamorphic Testing approach, and GUARD-ME, which analyzes LLM responses to such test cases for the detection of possible biases.
+#[GitHub](https://github.com/Trust4AI/GENIE) # SHORT DESCRIPTION
 
 links:
   - icon: github 
@@ -15,4 +16,6 @@ publication_types:
 
 ---
 
+GENIE facilitates the deployment and execution of Large Language Models (LLMs). This tool is specifically designed to integrate with MUSE, which generates test cases following a Metamorphic Testing approach, and GUARD-ME, which analyzes LLM responses to such test cases for the detection of possible biases.
 
+Integration options include a Docker image that launches a REST API with interactive documentation, simplifying its use and integration into various systems. GENIE is part of the Trust4AI research project.