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Have you tried an adaptive RAG approach to overcome LLM challenges?
Nov. 7, 2023, 2:12 p.m. | /u/bill-nexgencloud
machinelearningnews www.reddit.com
In response, they outline an adaptive RAG approach to ensure businesses can make the most out of leveraging LLMs.
Read the full article at [https://www.linkedin.com/pulse/rag-vs-finetuning-prompt-engineering-pragmatic-view-llm-mathew%3FtrackingId=FxRhZ6BTQziSVEsdx%252B7DAg%253D%253D/?trackingId=NvHboWTkTAmLBgfRZjGRrA%3D%3D](https://www.linkedin.com/pulse/rag-vs-finetuning-prompt-engineering-pragmatic-view-llm-mathew%3FtrackingId=FxRhZ6BTQziSVEsdx%252B7DAg%253D%253D/?trackingId=NvHboWTkTAmLBgfRZjGRrA%3D%3D)
https://preview.redd.it/fl1yio06oxyb1.png?width=1200&format=png&auto=webp&s=65ca5501f754784fb7d2fd046fbfb95f095615b1
ai application application applications article businesses challenges generative hallucinations llm llms machinelearningnews practical rag
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