From a company implementation perspective, one thing we’re noticing lately is AI tool fatigue. There’s a new AI product launching almost every week. While innovation is great, actual productivity gains haven’t come from adding more tools they’ve come from integrating a few tools deeply into workflows. In our experience: Clear use cases > Tool stacking Workflow design > Model novelty Consistency > Experimentation overload Do you think we’re moving toward consolidation or is the current explosion just the beginning? submitted by /u/Digitalunicon
Originally posted by u/Digitalunicon on r/ArtificialInteligence
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