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 Tag:  AI

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Page 5 / 7 Prev Next
#Post TitleDateUser
Grounding via RAG helped but not completely eliminating hallucinations  5 days agoReyna Elizondo
rag ai
Not sure how often models should be retrained feels like guesswork  5 days agoMeredith Hersh
mlops ai
AI infra cost slowly creeping up month by month not sure where to cut first  5 days agoJd Walter
cost ai
User phrasing variation broke multiple prompt flows we designed  6 days agoKartikeya Verma
inputs ai
Prompt injection attacks recently came up in discussion how serious is it  6 days agoTimothy Cook
security ai
Minor bias observed in outputs not extreme but noticeable  6 days agoMatthew Knaus
bias ai
Feels like we are adding AI just to stay competitive not sure of real value  6 days agoAnil Shakya
ai strategy
Initial spike in usage then drop anyone else seeing this pattern  6 days agoLori Kwiatkowski
engagement ai
Model size decision still unclear smaller vs larger tradeoff is confusing  6 days agoScott Wessels
models ai
Accuracy is high on paper still users complain about answers  6 days agoChase Duke
accuracy ai
Support automation didn’t reduce load as expected something feels off  6 days agoShubham Das
support ai
Debugging AI feels more like guessing than debugging code  6 days agoPaul Dadian
debugging ai
Agents sounded cool but coordination overhead is real  6 days agoParrish Martin
agents ai
Legal team pushing back on AI API usage anyone solved compliance concerns  6 days agoBrad Weatherly
compliance ai
Real user queries are breaking flows that worked perfectly in staging  6 days agoJoe Gossman
production ai
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