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Large language models (LLMs) have exploded in popularity over the last few years, revolutionizing natural language processing and AI. From chatbots to search engines to creative writing aids, LLMs are powering cutting-edge applications across industries. Retrieval augments LLMs by allowing huge external context.
Marcus’s views provide a deep dive into why LLMs, despite their breakthroughs, are not suited for tasks requiring complex reasoning and abstraction. This blog explores Marcus’s insights, addressing LLMs’ inherent limitations, the need for hybridAI approaches, and the societal implications of current AI practices.
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