The limitations of LLMs, or why are we doing RAG?
Read OriginalThis article discusses the inherent limitations of Large Language Models (LLMs), such as their lack of access to proprietary or recent information and their inability to recognize this gap. It introduces Retrieval Augmented Generation (RAG) as a key technique to augment LLMs with external, domain-specific data sources, enabling them to provide accurate, up-to-date answers. The piece contrasts general-purpose models with the need for specialized knowledge in business contexts, briefly mentioning alternatives like training from scratch or fine-tuning.
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