Hi everyone,
I’m a UX researcher at Arm working on a tool to help developers evaluate, compare, and select AI models - think a curated model recommendation layer that’s actually grounded in how practitioners make these decisions in the real world.
I’m running a short survey (3-5 minutes) to understand what factors matter most to people when selecting models, where you source them from, and what would make a vendor recommendation feel trustworthy rather than just marketing.
If you’ve worked hands-on with any model type - LLMs, computer vision, speech, embeddings, on-device, whatever - your input would be genuinely useful.
Happy to share findings back here once I have enough responses. Thanks in advance.