Ever wonder how those spooky-good Large Language Models actually tick? Michelle Frost's NDC AI talk dives deep into AI interpretability, going beyond just explaining what LLMs do to truly understand how they process information. It tackles the latest research, busts some common myths, and clarifies why peeking inside these "black boxes" is super important for reliable tech.
This isn't just academic fluff either! For anyone working with LLMs, interpretability is crucial for debugging weird behaviors, boosting performance, and ensuring AI plays nice with human goals. You'll walk away with a solid framework and practical strategies to tackle your own AI challenges.
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