Archive: 2026/02
Model Parallelism and Pipeline Parallelism in Large Generative AI Training
Pipeline parallelism enables training of massive generative AI models by splitting them across GPUs, overcoming memory limits. Learn how it works, why it's essential, and how it compares to other parallelization methods.
Security Operations with LLMs: Log Triage and Incident Narrative Generation
LLMs are transforming SOC operations by automating log triage and generating clear incident narratives, reducing alert fatigue and response times. Learn how they work, their real-world accuracy, risks, and why humans still must stay in the loop.
Citation Strategies for Generative AI: How to Link Claims to Source Documents Without Falling for Hallucinations
Generative AI can't be trusted as a source. Learn how to cite AI tools responsibly, avoid hallucinated facts, and verify claims using real sources-without risking your academic integrity.
