Key Points:
– Natural Language Processing (NLP) has advanced with Large Language Models (LLMs) but faces challenges in handling structured information effectively.
– Limitations in LLMs like ChatGPT underscore the gap in their ability to deal with structured knowledge.
– The StructLM model, based on the CodeLlama architecture, aims to address these limitations and enhance LLMs for structured information processing.
Author’s Take:
The evolution of NLP and LLMs has brought significant advances, yet the struggle with structured information remains a hurdle. With models like StructLM leveraging innovative architectures to bridge this gap, the future of LLMs seems promising in handling structured knowledge more effectively.
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