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[D] With LLMs hallucinating nature, how do we create a credible production ready application? (alien.top)

submitted 1 year ago by software-n-erd@alien.top to c/machinelearning@academy.garden

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I want to use LLMs to automate analysing data and use it to provide insights to my users, but often times I notice insights being generated on factually incorrect data. I tried fine tuning my prompts, the structure in which I pass data to LLM, few shot learning but there still some chance of it to hallucinate. How can I create a production ready application where this insights are surfaced to end users and presenting incorrect insights is not accepted? I am out of ideas. Any guidance is appreciated 🙏🏻

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[–] Seankala@alien.top 1 points 1 year ago (1 children)

The fact that this is actually getting upvoted is really a sign about what's happened to this community.

[–] software-n-erd@alien.top 1 points 1 year ago

I guess people just want to learn. If you think this isn’t the right approach just say it :)