Advanced Model Training

Enhancing AI through robust data and fine-tuning for superior performance in cybersecurity.

A computer screen displaying analytics dashboards with various charts, including a line graph on the left and a cohort analysis table on the right. The table is populated with different shades of blue, indicating varying levels of user activity over several weeks. Text labels and numbers detail user retention statistics.
A computer screen displaying analytics dashboards with various charts, including a line graph on the left and a cohort analysis table on the right. The table is populated with different shades of blue, indicating varying levels of user activity over several weeks. Text labels and numbers detail user retention statistics.
Data Construction Phase

Collaborate to collect multi-domain anomaly datasets for robust model training.

Model Fine-Tuning

Utilize GPT-4 API for domain-adaptive training on multimodal inputs.

Comparative Experiments

Benchmark against GPT-3.5 models for accuracy and generalization across tasks.

A dimly lit area with a dark background is visible. There is a central object resembling a security camera or electronic device. Below it, there is a rectangular white box with some graphics or text on its side. Cables or wires appear to be hanging or connected among the items.
A dimly lit area with a dark background is visible. There is a central object resembling a security camera or electronic device. Below it, there is a rectangular white box with some graphics or text on its side. Cables or wires appear to be hanging or connected among the items.

Robust model training

Research

Innovative approaches to cybersecurity and data analysis.

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