Seattle Skeptics on AI
Tamara Weed, Jan, 27 2026
Privacy-Aware RAG protects sensitive data in AI systems by filtering out personal information before it reaches large language models. Learn how it works, where it’s used, and why it’s becoming essential for compliance.
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Tamara Weed, Jan, 26 2026
Structured Reasoning Modules transform how LLMs solve complex problems by breaking reasoning into Generate-Verify-Revise steps. This new approach boosts accuracy by over 12% on hard tasks and reduces errors, making it essential for finance, science, and legal AI systems.
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Tamara Weed, Jan, 25 2026
Decoder-only transformers dominate modern LLMs for speed and scalability, but encoder-decoder models still lead in precision tasks like translation and summarization. Learn which architecture fits your use case in 2026.
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Tamara Weed, Jan, 24 2026
Prompt chaining and agentic planning are two ways to make LLMs handle complex tasks. One is simple and cheap. The other is smart but costly. Learn which one fits your use case-and why most teams get it wrong.
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Tamara Weed, Jan, 23 2026
Agentic LLMs plan, use tools, and act autonomously-transforming AI from passive responders to active problem-solvers. Learn how they work, where they're used, and why safety remains a critical challenge.
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Tamara Weed, Jan, 22 2026
Vibe coding tools generate code fast but fail at system design. Today's platforms can build components but not scalable architectures. The next wave must solve context, governance, and planning gaps to move beyond prototypes.
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Tamara Weed, Jan, 21 2026
Vibe coding lets teams build software by describing what they want-no code editing needed. Learn the five rules, the right tools, and when to use it-plus the risks of skipping tests and reviews.
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Tamara Weed, Jan, 20 2026
Generative AI isn't just a tool-it's a system with hidden costs. Learn how to budget for data, compliance, training, and ongoing maintenance to realize real ROI. Avoid the 73% failure rate by planning for the full lifecycle.
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Tamara Weed, Jan, 19 2026
Learn how agent plugins and tools like Cline, Cursor, and Anima extend vibe coding to build apps with natural language. Discover real-world uses, Chrome extensions, limitations, and how to start today.
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Tamara Weed, Jan, 18 2026
Domain-specialized generative AI models outperform general AI in healthcare, finance, and legal fields by focusing on industry-specific data. Learn how they work, where they excel, and why they're becoming the standard for enterprise AI.
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Tamara Weed, Jan, 17 2026
Learn how LLM compression techniques like quantization and pruning let you run large models on consumer GPUs and CPUs without sacrificing performance. Real-world benchmarks, trade-offs, and what to use in 2026.
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Tamara Weed, Jan, 16 2026
Trustworthy AI for code is no longer optional. With AI generating millions of lines of code daily, verification, provenance, and watermarking are essential to prevent security risks, ensure compliance, and maintain developer trust.
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