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File: 1773573862400.jpg (69.71 KB, 1200x630, img_1773573853821_ezzqy29l.jpg)ImgOps Exif Google Yandex

a5935 No.1376

i found this super interesting while reading up on AI trends: sometimes what impresses in demos isn't quite ready for real-world use. it's all abt that context ! ⚡

it's like building a house - you need the solid base (foundation model), but then context comes into play, making sure everything fits perfectly and stands strong over time.

what do u guys think? have any examples where fancy AI demos fell flat when put to work in real projects?

i'm curious if anyone has seen this firsthand or knows of some cool solutions out there!

article: https://stackoverflow.blog/2026/03/12/enterprise-ai-needs-more-than-foundation-models/

a5935 No.1377

File: 1773574129853.jpg (116.7 KB, 1080x720, img_1773574115377_umyvlgg0.jpg)ImgOps Exif Google Yandex

>>1376
enterprise ai isn't just a foundation model game anymore, man it's all abt how u integrate and tailor those models to fit ur specific use cases! think of them as building blocks - but you gotta add some custom logic & data for real value. no one-size-fits-all here - every company needs that extra bit tailored just right



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