When compared to other platforms based on 5 different types of prompts, we can see some strengths and weaknesses emerge for Claude.
GPT leads both user's platform choice and in blind side-by-side comparison As part of our Pulse IQ Research, we have users compare prompts and responses from different AI platforms in a blind side-by-side comparison. This time, we asked users to review work-related prompts. In the latest round of
Bard and GPT-3.5 are close behind As part of our Pulse IQ research, we have users compare prompts and responses from different AI platforms side by side. In the latest round of comparison, 61% of users preferred responses from GPT-4. Overall Users picked GPT-4 because they perceived the responses
To better understand the AI opportunities that are lower-hanging fruit, it is important to understand what consumers are asking and what types of prompts come naturally to them. Our research shows that 3 out of 4 people (75%) begin with prompts that fall into three types: * Factual (34%) ex. “How
Search is so dominant that it’s stunning to think it could be replaced by something else. But if you can only start in one place, where would you start? We asked that question of 227 US consumers familiar with AI to see which they would use first in nine
Key webinar takeaways from a discussion around the intersection of UX and AI. Explore the implications of LLMs and generative AI in UX design.
Sign in or subscribe for access to the webinar recording and more free UX content from Pulse Labs. This insightful 45-minute conversation hosted by Pulse Labs, is designed for UX researchers looking to navigate the rapidly evolving landscape of AI-driven applications. During the session, we hosted a dynamic, moderated discussion
Based on this week’s keynote address, Google Cloud Next 2024 is slated to be a hotbed of cutting-edge AI solutions, and many of these advancements represent potential for the User Experience research community. We’ve identified a few key takeaways that could inform future practices to gain UX insights
In the rapidly evolving field of artificial intelligence (AI), a push for smarter, more adaptable systems is the highest priority of some of the world’s largest technology companies. However, as we strive for progress, we’re encountering a unique challenge: the risk of "inbreeding" within AI models.
