• 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

  • Memory Planning to Avoid OOM in Large Language Model Inference
  • Memory Planning to Avoid OOM in Large Language Model Inference
  • 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
  • Scaling Laws in Practice: When to Stop Training Large Language Models
  • Scaling Laws in Practice: When to Stop Training Large Language Models
  • SLAs and Support: What Enterprises Really Need from LLM Providers in 2025
  • SLAs and Support: What Enterprises Really Need from LLM Providers in 2025
  • Health Checks for GPU-Backed LLM Services: Preventing Silent Failures
  • Health Checks for GPU-Backed LLM Services: Preventing Silent Failures

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