Seattle Skeptics on AI

Tamara Weed, May, 10 2026

Explore structured vs unstructured pruning for LLMs. Learn how Wanda and FASP optimize model efficiency, reduce memory usage, and speed up inference on standard and specialized hardware.

Tamara Weed, May, 9 2026

Learn how to measure generative AI adoption using telemetry, experience sampling, and surveys. Discover strategies to calculate ROI, track usage, and improve organizational AI effectiveness.

Tamara Weed, May, 8 2026

Navigate the complex regulatory landscape for AI-generated code in 2026. This guide covers EU AI Act deadlines, US state laws, and practical compliance steps for developers.

Tamara Weed, May, 7 2026

Discover how generative AI transforms procurement through automated vendor assessments and intelligent clause libraries. Learn implementation strategies, benefits, and risks for modern supply chain management.

Tamara Weed, May, 6 2026

Navigate 2026 LLM data residency rules. Learn how GDPR, PIPL, and DPDP impact AI deployment, architecture, and costs. Avoid fines with practical compliance strategies.

Tamara Weed, May, 5 2026

Protect vectorized private documents with secure embedding stores. Learn about semantic leakage, encryption challenges, and top vector database security features for 2026.

Tamara Weed, May, 4 2026

Discover why longer context windows in LLMs don't always mean better output. Learn about effective context length, attention dilution, and how to optimize RAG systems for peak performance.

Tamara Weed, May, 3 2026

Learn how tiered governance matches security controls to risk levels in vibe-coded apps. Discover frameworks for AI-assisted development, policy-as-code, and behavioral monitoring to ensure safe enterprise scaling.

Tamara Weed, May, 2 2026

Discover how to maximize talent strategy ROI for generative AI by shifting from role-based hiring to skills-centric planning. Learn why upskilling outperforms external recruitment and how to implement apprenticeship models for measurable workforce outcomes.

Tamara Weed, May, 1 2026

Master LLM Portfolio Management by balancing APIs, open-source, and custom models. Learn how to reduce costs by up to 62% while improving accuracy and compliance in 2026.

Tamara Weed, Apr, 30 2026

Stop wasting compute. Learn when to move past Chinchilla optimality and enter the overtraining regime to balance training costs with inference performance.

Tamara Weed, Apr, 29 2026

Learn how Chain-of-Thought prompting improves LLM reasoning by breaking complex problems into steps. Discover best practices, scaling secrets, and trade-offs.