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  • What is AI ops? Why LLM and agent systems require a different approach

    Last Updated on September 25, 2026 Most engineers approaching their first production LLM system bring a mental model that works well for software: test your inputs and outputs with assertions, check your code into git, roll back if something breaks, and rely on system prompts or configuration files…

    Sebastian Thrun’s Introduction To Machine Learning Blog9 min read
  • Prompt chaining explained: how to build reasoning pipelines in Python

    Last Updated on June 12, 2026 Imagine asking a friend who has never baked anything to produce a multi-layered cake. No recipe. No step-by-step instructions. Just: “Make me a three-tier cake with buttercream frosting and a fruit filling.” The result would be unpredictable at best.

    Sebastian Thrun’s Introduction To Machine Learning Blog19 min read
  • Agentic AI architecture: how to design multi-agent systems that actually work

    Last Updated on June 12, 2026 Picture a support operations pipeline built to handle billing inquiries. A customer writes in with a request that combines a billing dispute, a policy exception they read about on a forum, and an account that is missing three months of usage data because of a migration…

    Sebastian Thrun’s Introduction To Machine Learning Blog20 min read

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