Skill UI

Playbook for running ML training and inference on Lambda Labs’ on-demand GPU cloud, covering when to choose it, console/SSH/API workflows, available GPUs, pricing, and persistent storage with Lambda Stack pre-installed.

Guides building SEO-optimized pages at scale by combining templates, structured data, and proprietary insights, helping teams choose the right playbooks, validate demand, and keep each page unique and valuable while avoiding thin-content penalties.

Guide security analysts through structured incident triage using IR playbooks—from alert intake and enrichment to severity scoring, playbook selection, and team paging—ensuring rapid, repeatable SOC responses.

A comprehensive guide detailing advanced security threats in Machine Learning and AI systems. Covers model supply chain attacks (RCE via pickle, poisoning), adversarial examples (FGSM, PGD, physical-world), data privacy breaches, and LLM-specific vulnerabilities. Essential for building robust, secure AI pipelines.

This comprehensive playbook details advanced techniques for testing and exploiting Large Language Models (LLMs). It covers direct instruction override, indirect poisoning via RAG and web sources, function/tool abuse, and sophisticated data exfiltration methods. Essential reading for AI security researchers and penetration testers.