With pure LLM-based chatbots this is beyond question, as the responses provided range between plausible to completely delusional. Grounding LLMs with RAG reduces the amount of made-up nonsense ...
It uses retrieval algorithms to gather documents that are relevant to the request and adds context to enable the LLM to craft more accurate responses. However, RAG introduces several limitations ...
Southeast Asia's Uber-esque superapp, Grab, has developed a tool that allows its employees to build large language model (LLM) apps without ... augmented generation (RAG), according to a post ...
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