GPT-3

GPT-3

Wojciech Gryc shares a post on how GPT-3 impacts the user experience.

A great deal has been written about GPT-3 and its potential impact and hype on AI, machine learning, and data science. This post aims to look at the user experience around GPT-3 instead. Specifically, why do some people see GPT-3 as a magical innovation? What does this tell us about AI-driven products we don’t fully understand?

I’ve been exploring GPT-3 for the past few weeks and have been incredibly impressed with its ability to take my natural language prompts and generate helpful responses. More importantly, I’ve organized a few demo events and discussions about GPT-3 and have seen people play and interact with it.

The GPT-3 Click

When a user first logs into the GPT-3 Playground (i.e., demo interface), they are met with an empty text box and several modeling options. You’re expected to write, to chat, or input some text–what you say or do is up to you. It can be overwhelming in its simplicity.

There are sample text prompts to show you how to generate a Q&A session, or an English/French translation, or a story… What is critical, however, is that the entire interface is a text box–as the user, you simply provide text (i.e., the prompt) and ask GPT-3 to do the rest.

 

Key points include:

  • New User habits
  • Lessons for AI-driven Products
  • Play and forgiveness, speed and scalability

 

Read the full article, User Experience and AI: the GPT-3 ‘click’, on 10MillionSteps.com.