Talking Drupal #455 - Top 5 uses of AI for Drupal

Today we are talking about AI Tips for Drupal Devs, AI Best Practices, and Drupal Droid with guest Mike Miles. We’ll also cover AI interpolator as our module of the week. For show notes visit: www.talkingDrupal.com/455 Topics Top 5 tips Idea Generation (Ideation) Code Generation Debugging Content Generation Technical Explanations How do you suggest people use AI for Ideation Is MIT Sloan using AI to help with Drupal Development Does that code get directly inserted into your sites What are some common pitfalls Is your team using AI for debugging Any best practices you have found helping when working with AI Is MIT Sloan using AI for content generation What is an example of how you use AI for technical explanations What is your view ont he future of AI in Drupal, do you think AI will replace Drupal developers Resources Drupal Droid Talking Drupal - Drupal Droid Workflows of ai AI guidelines https://ist.mit.edu/ai-guidance https://mitsloanedtech.mit.edu/ai/ Using AI as a Development Tool Drupal Starshot: Delivering on a promise to Ambitious Site Builders Guests Michael Miles - mike-miles.com mikemiles86 Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Randy Fay - rfay MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted to use AI to help populate entity fields that were left blank by Drupal content authors? There’s a module for that. Module name/project name: AI Interpolator Brief history How old: created in Sep 2023 by Marcus Johansson of FreelyGive Versions available: 1.0.0-rc4 Maintainership Actively maintained, recent release in the past month Security coverage - opted in, needs stable release Test coverage Documentation - User guide Number of open issues: 18 open issues, none of which are a bugs Usage stats: 94 sites Module features and usage In scientific fields, interpolation is the process of using known data to extrapolate or estimate unknown data points. In a similar way this module helps your Drupal site provide values for fields that didn’t receive input, based on the information that was provided. Fundamentally Interpolator AI provides a framework and an API, and then relies on companion modules for processing, either by leveraging third-party services like AI LLMs, or PHP-based scripting. There are existing integrations with a variety of AI services, including OpenAI, Dreamstudio, Hugging Face, and more. You can add retrievers to help extract and normalize the content you’re processing, for example photos from an external site, and other tools to help normalize and optimize content and media, and optimize any prompts you will be using with AI services. You can also extend the workflow capabilities of AI Interpolator, for example using the popular and powerful ECA module that we’ve talked about before on this show.