Do language models always answer the same way?
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LESSON 10 - ARTIFICIAL INTELLIGENCE FOUNDATIONS FOR BROADENING CULTURAL HORIZONS
Do language models always answer the same way?
In this lesson, we explore a core characteristic of language models: their non-deterministic nature. When asked the same question, they can generate different responses. Why does this happen? Because they do not operate on fixed rules, but rather on probabilities built from vast amounts of data. We analyze how variables such as "temperature" influence the degree of creativity or predictability in responses, and how certain parameters can modify a model's behavior without requiring retraining.
We also examine the so-called system prompt, that invisible initial instruction that guides tone, boundaries, and interaction rules. What are the implications of configurations hidden from the user? To what extent are these systems truly "black boxes"? The goal is to reflect on transparency, auditability, and trust: if behavior can be adjusted without our knowledge, what regulatory and pedagogical challenges arise?
At the end of the lesson, you are invited to answer a few questions.
👨🏫 Instructor: Marcos Gómez-
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