If AGI uses supervised learning at its core, how come prompting structured data be a limitation of AGI. It was said that AGI is a large supervised model fed with large amount of data. In that case, it seems logical to think that AGI works well with structured data than the unstructured.
Thanks for your question, Sisira_UX. LLMs are more often associated with natural language text (i.e. unstructured data) that mirrors human-like interaction, and not tables or databases (i.e. structured data). The AGI limitation with unstructured data refers to the challenges of understanding and manipulating what goes beyond text.
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