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README.md

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 ## Project Summary
 
-This is the final assignment repository for the **M4 Applied Deep Learning and Artificial Intelligence** course at Aalborg University. It synthesizes Assignments 2 and 3 into a state-of-the-art data labelling pipeline. A **Generative LLM is fine-tuned via QLoRA** to understand patent language, then integrated as the "brain" of a **Multi-Agent System (MAS)** to debate and label complex patent claims. Finally, a targeted **Human-in-the-Loop (HITL)** review step produces a gold dataset for a final PatentSBERTa fine-tuning.
+This is the final assignment it synthesizes Assignments 2 and 3 into a data labelling pipeline. A Generative LLM is fine-tuned via QLoRA to understand patent language, then integrated as the "jduge" of a Multi-Agent System (MAS) to debate and label complex patent claims. Finally, a targeted Human-in-the-Loop (HITL) review step produces a gold dataset for a final PatentSBERTa fine-tuning.
 
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