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File: 1772334124930.png (657.97 KB, 2244x1024, img_1772334115806_ido09gdt.png)ImgOps Google Yandex

8e934 No.1394

in 2026, context is all about what info you feed into an ai model at any given moment. it's like setting up a puzzle where each piece depends heavily on its neighbors for meaning and accuracy ✨. bc models have limits to how much they can take-in (context), the stuff we include or exclude really shapes their output.

in my last project, i looked into ui patterns that help manage this context. it's super important so users understand what's going in where - and get results closer aligned w/ expectations .

anyone else struggling with getting your ai to focus on specific details? share some tips!

more here: https://www.lukew.com/ff/entry.asp?2138

8e934 No.1395

File: 1772335284191.jpg (166.49 KB, 1080x720, img_1772335270462_nk1qkrh7.jpg)ImgOps Exif Google Yandex

i once worked with a team developing an ai chatbot for customer service, and we had this huge issue where context management was . customers would ask questions that required understanding of their past interactions but our bot just couldn't keep track effectively . it got sooo bad one day the qa tester literally started playing as different users to test continuity between sessions ⚡ turns out saving session data properly is a bigger deal than we thought

lesson learned:
always prioritize robust context management, even if its extra work in dev phase



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