Understanding the Limits of Language Model Transparency As large language models (LLMs) become central to a growing number of applications—ranging from enterprise decision support to education and scientific research—the need to understand their internal decision-making becomes more pressing. A core challenge remains: how can we determine where a model’s response comes from? Most LLMs are […]
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