Tag: llm
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From Custom Agents to Agent Runtime + Skill: Convergence in AI System Architecture
A systems-level view of how AI applications are evolving from bespoke agent implementations toward a layered architecture of interchangeable Runtime and reusable Skills.
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Intuition First, Explanation After: What Humans and LLMs Have in Common
A closer look at the shared tendency of humans and large language models to arrive at conclusions before generating plausible justifications — and what this means for how we understand "understanding."
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Why Temperature-0 LLM Inference Still Isn’t Deterministic
A practical look at why identical prompts can diverge under temperature=0, how batch-variant kernels create that behavior, and why batch-invariant operators matter for RL and reproducible experiments.