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Gen-AI design process: Rethinking the traditional approach for next-Gen UX

UX Planet

Familiarize with AI and LLMs Basics : Herein, you should familiarize yourself with AI fundamentals and the workings of Large Language Models (LLMs), including their inherent limitations such as the potential for generating incorrect information, known as “hallucinations,” and the impact of biased training data ( AI for UX: Getting Started).

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How to Leverage AI in SaaS? (+Best Tools)

Userpilot

Generative AI has changed how tech companies do business. companies use AI in their operations and the number of jobs requiring AI has increased by 450% since 2013. In 2023, over 26% of investments in American startups were directed toward AI-related companies. How to implement AI to build better products.

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New Product Launch Checklist: How to Plan a Successful Launch

Userpilot

In this article, we take a deep dive into the technicalities of a product launch. Consider a few: Chat GPT OpenAI released a demo of ChatGPT on November 20, 2022. Although this was the third iteration of the GPT (GPT-1 was released in June 2018), it was only with this release that GPT went truly viral.

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Intercom on Product: How ChatGPT changed everything

Intercom, Inc.

ChatGPT , OpenAI’s prototype artificial intelligence chatbot, launched last week and it has been making the rounds in the halls of the internet, inspiring amazed reactions from diehard techno-positivists to perpetual tech-skeptics. The bot is powered by GPT-3.5, ChatGPT’s big debut. Can ChatGPT be creative?

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One Effective Prompt to Overcome a Designer’s Idea Block

UX Planet

In this article, I want to show you an AI prompt that you can use to generate many ideas for the product you work on so you will never have a design block. USERS: Explain to ChatGPT who the users you design for are. Ask for more ideas If you want more ideas, the chat can give you more. Please enter here.

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How Can Product Leaders Support Continuous Discovery?

Product Talk

Let’s have feedback loops. I’m going to generalize this for you. Discovery is about: How do we build fast feedback loops to support our decisions? It’s: How do I build fast feedback? How do I get fast feedback that this was a good decision or a better decision than this other decision?