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LAI #121: The single-agent sweet spot nobody wants to admit
Plus: the RAG debugging split most teams skip entirely!
 • Louis-François Bouchard, Towards AI, and Louie Peters
LAI #120: Beyond Prompting
Harness engineering, agent architectures, and our AI engineering cheatsheet.
 • Louis-François Bouchard, Towards AI, and Louie Peters
We're sharing our internal AI engineering cheatsheets
The exact markdown files we use for writing, coding, and building agents at Towards AI
 • Towards AI
LAI #119: Prompting, Retrieval, or Retraining?
Understanding what actually changes a model, plus SVD, LeJEPA, MCP scaling, and CLIP search.
 • Louis-François Bouchard, Towards AI, and Louie Peters
LAI #118: What’s Actually Happening Inside Your AI Models
RL agents, gradient failures, automatic differentiation, statistical testing, and VAEs for real anomaly detection.
 • Louis-François Bouchard, Towards AI, and Louie Peters
LAI #117: Why Reliable AI Systems Are Still So Hard to Build
Five reads to make you a sharper AI practitioner this week.
 • Louis-François Bouchard, Towards AI, and Louie Peters
Go from 'my agent runs' to 'it ships.'
Evals, Observability, & Deployment
 • Towards AI and Louis-François Bouchard
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