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How to Use Generative AI and LLMs to Improve Search

TechEmpower - Product Management

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day. Strive for a balanced outcome.

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Our grand experiment with GPT and generative AI

Intercom, Inc.

The possibilities to automate and streamline processes for support reps seem endless, but the success of generative AI in this space will ultimately depend on its ability to deliver real value for customer service teams and customers alike. To test this, we quickly got down to work. ” Des: Yeah, totally.

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Preference Testing: A Step-By-Step Guide

Userpilot

What’s preference testing? How to conduct a preference test and collect feedback ? These are some of the questions that this article tackles, so if you’re after the answers, you’re in the right place! A/B testing , on the other hand, requires a working product and quantitatively measures actual user behavior.

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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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Announcing Intercom’s new AI features

Intercom, Inc.

Suddenly it seemed that generative AI might transform industries from education to marketing. We think this could unlock a lot of the value generative AI promises, saving teammates minutes finding relevant content and rewriting it each time. The arrival of ChatGPT just eight weeks ago was a watershed moment.

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Best AI Tools for Design and Research

UX Studio

We challenge you to find someone who hasn’t heard about generative AI. AI tools can also generate ideas and answer almost any question we can think of. Read our article about AI tools for design and research to get a closer overview. That’s why we went one step further and tested the products.

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Who is Marty Cagan: Background, Books, Product Management Tips, and More

Userpilot

Here are his top blogs that we highly recommend going through first: Product vs Feature Teams – Marty Cagan addresses confusion in tech product roles in this article. The three important types of validation product teams should conduct are feasibility testing, usability testing, and desirability testing.