Production LLM Inference Latency SLO Framework
Introduction Production teams don’t fail because the model is “slow”—they fail because latency is unpredictable and the system has no m...
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LLM Security Testing Methodology: Threat Modeling
Introduction Production LLMs are routinely attacked in ways traditional pentesting doesn’t cover: attacker-controlled prompts, tool/agen...
FinOps for LLMs: Token Costs, Unit Economics, Chargeback
Introduction Production teams are increasingly asked the same question: “What does our AI cost per customer, per feature, per request—an...
Intelligent Systems & AI Engineering
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Intermediate to Advanced
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Multimodal LLMs / Vision-Language Models
Multimodal Prompt Engineering Best Practices (2026)
Introduction Production-grade multimodal prompt engineering best practices determine whether your vision-language model reliably interp...
Difficulty: Advanced (production security + ML calibration)
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Security Engineering & Applied Cryptography
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Tech Stack: C2PA/provenance, watermark extraction, deepfake ML inference, GPU pipeline
AI-Generated Video Authentication: Provenance
Introduction Production systems increasingly need AI-generated video authentication that can survive distribution, transcoding, and adv...
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