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RAG or Fine-tuning? Which is best for training a model? (x.com)
2 points by MeetBagelPPML 8 months ago | hide | past | favorite | 1 comment



I have found RAG to be more effective in its specialization. querying across your company's data has never been easier. Using a solution like the one I built at customgpt.ai, you can even turn on citations to see where your answer is coming from, and we have the best anti-hallucination rating in the market. you can find the link to the API page on my account




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