A highly scalable real-time log anomaly detection architecture with LLMs, information retrieval, and user feedback to pinpoint faults across a distributed system.
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Apr 27, 2024 - Python
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log-anomaly-detection
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Final project for the T-725-MALV course at Reykjavik University (Fall 2024), exploring Large Language Models (LLAMA, BERT) for anomaly detection in system logs through fine-tuning and benchmarking against traditional methods.
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Nov 8, 2024 - Python
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