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Articole: 9

  1. Lazy Reviewer

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    Yesterday, I had again one of those experiences that are funny not funny.

  2. Is an LLM Deterministic or Probabilistic? A Deep Dive into Softmax & Co.

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    Euler’s night 21:38.

  3. 10 LLM Failure Modes I Encountered While Engineering with ChatGPT

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    After months of building an AI platform with ChatGPT as my engineering partner, I started noticing recurring collaboration patterns.

  4. From Job Roles to AI Agents: Specifying AI Assistants through Organizational Job Roles

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    This article presents a conceptual hypothesis intended as the foundation for further exploration.

  5. Long-Running Human-AI Engineering: Don’t Preserve Conversations. Preserve State.

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    A new chat begins.

  6. Sprint A.5: Building Charlie’s Retrieval Foundation (RAG)

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    « Stream A (Charlie Platform) | Sprint 5 ≫ Sprint 5 in the Stream „Charlie Platform“ marked Charlie’s transition from a conversational assistant into an AI platform capable of processing external knowledge.

  7. Why „Engineering with AI“ Matters

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    AI can explain software.

  8. Sprint B.1: Building the Engineering Truth Pipeline

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    « Stream B (Charlie Lab) | Sprint 1 ≫ This sprint established the first implementation of Charlie’s continuous engineering architecture.

  9. Building a Documentation Factory for AI Engineering

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    When people think about AI Engineering, they usually think about language models, RAG, agents, MCP servers, evaluation frameworks or orchestration.