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Seattle Skeptics on AI

Tag: RAG systems

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

  • 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
  • Beyond BLEU and ROUGE: Semantic Metrics for LLM Output Quality
  • Beyond BLEU and ROUGE: Semantic Metrics for LLM Output Quality
  • Sinusoidal vs Learned Positional Encoding in Transformers: A Guide for LLMs
  • Sinusoidal vs Learned Positional Encoding in Transformers: A Guide for LLMs
  • Database Schema Design with AI: Validate Models and Migrations Faster
  • Database Schema Design with AI: Validate Models and Migrations Faster
  • How to Stop Proxy Discrimination in LLM Decision Systems: A Practical Guide
  • How to Stop Proxy Discrimination in LLM Decision Systems: A Practical Guide

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