In ML, weak learners like decision trees have been incredibly effective when combined. Algorithms like Random Forest and XGBoost turn these weak learners into strong models. What if we applied this same principle to LLMs?
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Are LLMs the next generation of weak learners? There’s growing discussion about diminishing returns in current AI architectures, as noted by @garymarcus.bsky.social and more recently by @fchollet.bsky.social and others. https://www.pelayoarbues.com/notes/The-next-generation-of-Weak-Learners
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