summary, description

summary, description

Author: CHECA3

content/tools/tool1/index.md

@@ -17,4 +17,4 @@ publication_types:
 
 ---
 
-
+POET is a template-based prompt generator for testing large language models (LLMs). It leverages customizable JSON templates to create diverse prompts, enabling comprehensive evaluation across various scenarios and inputs. This tool is complementary to EVA, a tool for classifying text inputs. Integration options include a Docker image launching a REST API with interactive documentation, facilitating its use and integration. POET is part of the Trust4AI research project.

content/tools/tool2/index.md

@@ -1,6 +1,7 @@
 ---
-title:  EVA
-summary:  LLM Response Evaluator. #[GitHub](https://github.com/Trust4AI/EVA)#SHORT DESCRIPTION
+title:  EVA. LLM Response Evaluator
+summary:  EVA takes LLM responses as inputs and classifies them as affirmative or similar. Its primary application is the assessment of large language model (LLM) responses during testing. EVA complements the POET component by evaluating the LLM responses obtained from the promps generated by POET.
+#[GitHub](https://github.com/Trust4AI/EVA)#SHORT DESCRIPTION
 date: 2024-06-05
 
 links:
@@ -14,4 +15,4 @@ publication_types:
 - "paper-conference"
 ---
 
-
+EVA takes LLM responses as inputs and classifies them as affirmative or similar. Its primary application is the assessment of large language model (LLM) responses during testing. EVA complements the POET component by evaluating the LLM responses obtained from the promps generated by POET. Integration options include a Docker image launching a REST API with interactive documentation, facilitating its use and integration. EVA is part of the Trust4AI research project.