The fine line between mistake and innovation in LLMs
Large language models are probabilistic systems. While they're improving rapidly, they can still fail at basic tasks or hallucinate answers - sometimes without us even noticing. In this post, I explore why that happens, how we can mitigate it, and why these mistakes are fundamentally exciting.