×
#1 choice for businesses. Increase software adoption & accelerate time to value. Act Now.
Jan 17, 2024 · We used Canvil as a technology probe in a group-based design study (6 groups, N=17), finding that designers constructively iterated on both ...
Jan 17, 2024 · Canvil supports structured authoring of system prompts to adapt LLM behavior, testing of adapted models on diverse user inputs, and integration ...
In the center, 'Canvil' is depicted as a user interface with settings for model profiles, audience settings, guardrails, and a playground. Three users are shown ...
Sep 18, 2024 · Canvil: Designerly Adaptation for LLM-Powered User Experiences. ... Advancements in large language models (LLMs) are sparking a proliferation of ...
Sep 16, 2024 · Examines how designers can adapt their practices to create user experiences powered by large language models (LLMs); Introduces "Canvil," a ...
Canvil: Designerly Adaptation for LLM-Powered User Experiences. arXiv.2401.09051, pp. . DOI: https://doi.org/10.48550/arXiv.2401.09051. Feng, K. J. Kevin ...
Jan 18, 2024 · Canvil: Designerly Adaptation for LLM-Powered User Experiences. http://arxiv.org/abs/2401.09051 · 11:57 AM · Jan 18, 2024.
... design tools to support designers in improving AI-powered user experiences. ... Canvil. Designerly Adaptation for LLM-Powered User Experiences. arXiv 2024.
2023. Canvil: Designerly Adaptation for LLM-Powered User Experiences. KJ Feng, QV Liao, Z Xiao, JW Vaughan, AX Zhang, DW McDonald. arXiv preprint arXiv ...
Canvil: Designerly Adaptation for LLM-Powered User Experiences. Kevin Feng, Q. Vera Liao, Ziang Xiao, Jennifer Wortman Vaughan, Amy X. Zhang, David W ...