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Beyond the Promise of Large Language Models
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The article challenges the effectiveness of large language models (LLMs) in delivering promised AI agents, emphasizing the need for formal software engineering, data organization, and writing methodologies for such systems.
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How can formal specifications and data management improve large language models?
What are the potential implications of these limitations on the development of AI agents?
What role does software engineering play in the effectiveness of large language models?
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