klotz: llm reasoning* + large language models*

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  1. This article explores how tool calling enables AI agents to move beyond simple text generation by interacting with external systems. It explains the process where large language models generate structured data, such as JSON, instead of natural language to trigger specific functions and APIs.

    - The mechanics of function definition within model prompts
    - How reasoning leads a model to select appropriate tools for a task
    - The transition from conversational responses to actionable command outputs
    - The execution loop required for autonomous agent behavior

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