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LLMs and the Stochastic Nature of Generative AI 🎲
Here we discuss large language models (LLMs) and their role in generative AI applications. The newsletter specifically highlights the stochastic nature of LLMs, explaining that they generate varied responses to the same query due to learning from vast datasets rather than following rigid rules.
This characteristic means their output is probabilistic and not always identical, showcasing their creative and pattern-based generation process.
Source: Top AI Newsletter By Pascal BORNET
LLMs generate responses based on patterns learned from massive training data. This means they’re inherently probabilistic rather than deterministic. Each response is a creative act, not just a lookup in a rule table.
This characteristic – called stochasticity – means they don’t produce the exact same answer every time, even when asked identical questions. Try this experiment: Ask your preferred AI chatbot the same question four times in a row. You’ll likely get slightly different answers each time.
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