Seattle Skeptics on AI - Page 4

Access Controls and Audit Trails for Sensitive LLM Interactions: How to Secure AI Systems
Access Controls and Audit Trails for Sensitive LLM Interactions: How to Secure AI Systems

Tamara Weed, Nov, 3 2025

Learn how access controls and audit trails protect sensitive data in LLM systems. Discover what logs to capture, how roles work, and why compliance isn't optional in 2025.

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Ethical Review Boards for Generative AI Projects: How They Work and What They Decide
Ethical Review Boards for Generative AI Projects: How They Work and What They Decide

Tamara Weed, Oct, 22 2025

Ethical review boards for generative AI ensure responsible development by evaluating projects against fairness, privacy, and transparency standards. Learn how they work, who's on them, and what outcomes they deliver.

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Data Privacy in LLM Training Pipelines: How to Redact PII and Enforce Governance
Data Privacy in LLM Training Pipelines: How to Redact PII and Enforce Governance

Tamara Weed, Oct, 18 2025

Learn how to protect personal data in LLM training pipelines using PII redaction and governance. Discover the best tools, techniques, and compliance strategies to avoid fines and data leaks.

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Multi-Agent Systems with LLMs: How Specialized AI Agents Collaborate to Solve Complex Problems
Multi-Agent Systems with LLMs: How Specialized AI Agents Collaborate to Solve Complex Problems

Tamara Weed, Oct, 8 2025

Multi-agent systems with LLMs use teams of specialized AI agents to solve complex tasks more accurately than single models. Learn how frameworks like Chain-of-Agents, MacNet, and LatentMAS work, where they're used, and the risks involved.

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How Large Language Models Learn: Self-Supervised Training at Internet Scale
How Large Language Models Learn: Self-Supervised Training at Internet Scale

Tamara Weed, Sep, 30 2025

Large language models learn by predicting the next word across trillions of internet text samples using self-supervised training. This method, used by GPT-4, Llama 3, and Claude 3, enables unprecedented language understanding without human labeling - but comes with major costs and ethical challenges.

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Vibe Coding for Knowledge Workers: Tools That Save Hours Every Week
Vibe Coding for Knowledge Workers: Tools That Save Hours Every Week

Tamara Weed, Sep, 17 2025

Vibe coding lets knowledge workers build custom apps using plain English instead of code, saving 12-15 hours weekly. Tools like Knack, Memberstack, and Quixy make it possible - no programming skills needed.

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ROI Modeling for Vibe Coding: How AI-Powered Development Cuts Costs, Speeds Up Delivery, and Boosts Quality
ROI Modeling for Vibe Coding: How AI-Powered Development Cuts Costs, Speeds Up Delivery, and Boosts Quality

Tamara Weed, Aug, 10 2025

Vibe coding uses AI to turn natural language into code, slashing development time and costs. Learn how to model ROI, avoid hidden debts, and decide if it's right for your project.

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Reasoning in Large Language Models: Chain-of-Thought, Self-Consistency, and Debate Explained
Reasoning in Large Language Models: Chain-of-Thought, Self-Consistency, and Debate Explained

Tamara Weed, Aug, 9 2025

Chain-of-Thought, Self-Consistency, and Debate are transforming how large language models solve complex problems. Learn how these methods work, when to use them, and why they’re becoming essential in AI systems by 2025.

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Secure Prompting for Vibe Coding: How to Ask for Safer Implementations
Secure Prompting for Vibe Coding: How to Ask for Safer Implementations

Tamara Weed, Aug, 6 2025

Learn how to use secure prompting in vibe coding to reduce common security flaws like SQL injection and hardcoded secrets. Proven templates, rules files, and real data show how to ask AI for safer code without slowing down.

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Internal Tools and Business Automation Built with Vibe Coding: What Actually Works in 2025
Internal Tools and Business Automation Built with Vibe Coding: What Actually Works in 2025

Tamara Weed, Aug, 6 2025

Vibe coding lets non-developers build internal tools with AI-generated code. It cuts development time from weeks to hours-but only for simple tasks. Learn where it works, where it fails, and how to use it safely in 2025.

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Supply Chain Optimization with Generative AI: Demand Forecast Narratives and Exceptions
Supply Chain Optimization with Generative AI: Demand Forecast Narratives and Exceptions

Tamara Weed, Aug, 3 2025

Generative AI transforms supply chain demand forecasting by turning numbers into actionable narratives and explaining exceptions. Companies using it cut inventory costs by 35%, reduce stockouts, and respond to disruptions before they escalate.

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Generative AI in Business Operations: High-Impact Use Cases and Real Implementation Patterns
Generative AI in Business Operations: High-Impact Use Cases and Real Implementation Patterns

Tamara Weed, Aug, 1 2025

Generative AI is transforming business operations by automating repetitive tasks, improving decision-making, and personalizing customer experiences. Learn the top high-impact use cases and proven implementation patterns that deliver real ROI.

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