PYMNTS.com April 25, 2024
As experts hint at the nearing technical limits of large language models (LLMs), the spotlight turns to retrieval-augmented generation (RAG) — a promising advancement that could redefine artificial intelligence (AI) by merging information retrieval with natural language generation.
LLMs have led AI technology and improved various applications. However, their tendency to generate false information has limited their potential. RAG allows AI to access and incorporate specific external data into its responses, making them more effective and accurate.
“The main advantage of RAGs over LLMs is the fact that the former is based entirely on a proprietary data set that the owner of said RAG can control, allowing for more targeted applications,” Renat Abyasov, CEO of the AI company Wonderslide...
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