• Seattle Skeptics on AI
Seattle Skeptics on AI

Tag: generative AI architecture

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.

Categories:

Science & Research

Tags:

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

Recent post

  • Prompt Chaining for Multi-File Refactors in Version-Controlled Repositories
  • Prompt Chaining for Multi-File Refactors in Version-Controlled Repositories
  • 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
  • Proof-of-Concept Machine Learning Apps Built with Vibe Coding
  • Proof-of-Concept Machine Learning Apps Built with Vibe Coding
  • Implementing Generative AI Responsibly: Governance, Oversight, and Compliance
  • Implementing Generative AI Responsibly: Governance, Oversight, and Compliance
  • Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything
  • Prompt Sensitivity in Large Language Models: Why Small Word Changes Change Everything

Categories

  • Science & Research

Archives

  • March 2026
  • February 2026
  • January 2026
  • December 2025
  • November 2025
  • October 2025
  • September 2025
  • August 2025
  • July 2025

Tags

vibe coding large language models AI coding tools prompt engineering generative AI LLM security AI compliance AI governance AI coding transformer models AI code security GitHub Copilot AI development LLM deployment AI coding assistants prompt injection AI code vulnerabilities GPU utilization LLM optimization AI agents

© 2026. All rights reserved.