QCRI/AZERG-T3-Mistral
QCRI/AZERG-T3-Mistral is a fine-tuned Mistral-7B-Instruct-v0.3 model developed by QCRI, specialized for Task 3: Related Pair Detection within the AZERG framework. This specialist model is trained on the QCRI/AZERG-Dataset to identify semantic relationships between two STIX entities in a given text context. It is designed for high performance in extracting potential STIX entities from security text passages.
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Overview
QCRI/AZERG-T3-Mistral is a specialized language model developed by QCRI, fine-tuned from mistralai/Mistral-7B-Instruct-v0.3. Its primary function is Related Pair Detection within the AZERG framework. This model has been specifically trained on the QCRI/AZERG-Dataset to accurately determine if a semantic relationship exists between two STIX (Structured Threat Information eXpression) entities within a provided text passage.
Key Capabilities
- Specialized Entity Relationship Detection: Focuses on identifying semantic relationships between STIX entities.
- Contextual Analysis: Evaluates relationships based on the surrounding text passage.
- High Performance: Designed for high accuracy in its specific task within the AZERG framework.
Good For
- Threat Intelligence Analysis: Automating the extraction of actionable intelligence from security texts.
- STIX Entity Extraction: Identifying potential STIX entities and their relationships from unstructured security data.
- Security Text Processing: Analyzing security-related text to uncover connections between threat indicators.