AimonLabs
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hallucination-detection-model

Updated HDM2 Design and Taxonomy links

#11

by Devvrat - opened May 14

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@@ -86,9 +86,9 @@ HDM-2 is a modular, production-ready, multi-task hallucination (or inaccuracy) e
 HDM-2 introduces a novel taxonomy-guided, span-level validation architecture focused on precision, explainability, and adaptability.
 The figure below shows the workflow (on the left) in which we determine whether a certain LLM response is hallucinated or not and an example (on the right) that shows the taxonomy of an LLM response.
-HDM-2 Model Workflow | Example of Enterprise LLM Response Taxonomy
---- | ---
-![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXdpn0qSjx_A3ax0qXZ3BIBTXAbMphuN1gLPXRQ4m_aTCSaN_hMMS27d0hJeQaZhc0P_iCpnktRsCyT_xB5V7-ofqQwjAvNWkRka_fJAGKfD466PK-jgGoRpDPqT9Ag3MT8XVSGscQ?key=x9HqmDQsJmBeqyuiakDxe8Cs) | ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfJzyMnYVlR9sNIV7cDKmY3d_RnQYUBj7Ass6RWfhTt5ds2OJ5os2uPv7loECI_ao7_To3H4WV9UoHhnbJ2Ux-XSFQK76NJzOkiWNuDQQxuaojzgazujJ45KPSyhbtbfNe3msyl6w?key=x9HqmDQsJmBeqyuiakDxe8Cs)
 ### Enterprise Models

 HDM-2 introduces a novel taxonomy-guided, span-level validation architecture focused on precision, explainability, and adaptability.
 The figure below shows the workflow (on the left) in which we determine whether a certain LLM response is hallucinated or not and an example (on the right) that shows the taxonomy of an LLM response.
+| HDM-2 Model Workflow | Example of Enterprise LLM Response Taxonomy |
+| --- | --- |
+| ![](https://huggingface.co/AimonLabs/hallucination-detection-model/resolve/main/hdm2_design.png) | ![](https://huggingface.co/AimonLabs/hallucination-detection-model/resolve/main/taxonomy.jpg) |
 ### Enterprise Models