LoRA fine-tuning of TinyLlama-1.1B on 450 SOC examples produces 68% threat classification accuracy and 58% severity accuracy on 50 held-out logs, with full code, weights, and data released.
A Survey on Data Augmen- tation for Text Classification
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OpenSOC-AI: Democratizing Security Operations with Parameter Efficient LLM Log Analysis
LoRA fine-tuning of TinyLlama-1.1B on 450 SOC examples produces 68% threat classification accuracy and 58% severity accuracy on 50 held-out logs, with full code, weights, and data released.