• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: data for AI

Target Architecture for Generative AI: Data, Models, and Orchestration
Target Architecture for Generative AI: Data, Models, and Orchestration

Tamara Weed, Jan, 30 2026

A practical guide to building a working generative AI architecture focused on data quality, orchestration, and feedback loops-not just big models. Learn what actually works in enterprise settings and how to avoid the most common failures.

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Science & Research

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generative AI architecture data for AI AI orchestration LLM infrastructure RAG systems

Recent post

  • Privacy and Security Risks of Distilled LLMs: A Guide for Secure Deployment
  • Privacy and Security Risks of Distilled LLMs: A Guide for Secure Deployment
  • Ensembling Generative AI Models: How Cross-Checking Outputs Reduces Hallucinations
  • Ensembling Generative AI Models: How Cross-Checking Outputs Reduces Hallucinations
  • How LLMs Use Probabilities to Pick the Next Word
  • How LLMs Use Probabilities to Pick the Next Word
  • GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading
  • GPU Selection for LLM Inference: A100 vs H100 vs CPU Offloading
  • Building Trust in Generative AI: A Practical Guide to Stakeholder Engagement and Transparency
  • Building Trust in Generative AI: A Practical Guide to Stakeholder Engagement and Transparency

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