Speech and Natural Language Input for Your Mobile App Using LLMs

<h1>Introduction</h1> <p>A Large Language Model (LLM) is a machine learning system that can effectively process natural language. The most advanced LLM available at the moment is GPT-4, which powers the paid version of ChatGPT. In this article you will learn how to give your app highly flexible speech interpretation using GPT-4 function calling, in full synergy with your app&rsquo;s Graphical User Interface (GUI). It is intended for product owners, UX designers, and mobile developers.</p> <p><img alt="OpenAI GPT-4 Functions to Navigate your Mobile App’s GUI" src="https://miro.medium.com/v2/resize:fit:700/1*ZzGji40ThwDtznRWD7poKw.png" style="height:348px; width:700px" /></p> <h1>Background</h1> <p>Digital assistants on mobile phones (Android and iOS) have failed to catch on for a number of reasons; among which they are faulty, limited, and often tedious to use. LLMs, and now especially OpenAI GPT-4, hold the potential to make a difference here, with their ability to more deeply grasp the user&rsquo;s intention instead of trying to coarsely pattern match a spoken expression.</p> <p><a href="https://towardsdatascience.com/speech-and-natural-language-input-for-your-mobile-app-using-llms-e79e23d3c5fd"><strong>Website</strong></a></p>