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Articles tagged with #artificial-intelligence
Most agent architecture diagrams are too simple. They usually show something like this: User -> Agent -> Tools -> Answer Or, if the system is more advanced: User -> Router -> Orchestrator -> Speciali
Most document AI systems optimize for answers. MARE optimizes for evidence. That difference matters more than it sounds. When an agent or application answers a question about a PDF, wIe usually want m
Introduction Over the past few months, the narrative around AI has been dominated by one idea: Bigger models → better intelligence. But after experimenting with: local models (Qwen via Ollama) codin
Beyond Embeddings: The Agent-Based Architecture Revolution In Part 1, I explored how embedding-driven search can understand user intent far better than traditional keyword matching. But understanding
How to Choose Careers and Build Teams in the Agent Era 1. Why this document exists The AI ecosystem today is loud, fragmented, and confusing. Students don’t know what to study Engineers don’t know how to stay relevant ML graduates don’t know where...
(A practical field guide for engineers navigating large organizations) Introduction: If this feels familiar, you’re not alone If you’ve spent time building AI or ML systems inside a large organization, chances are you’ve experienced some version of t...
