Talking Drupal #436 - Drupal & AI

Today we are talking about AI within Drupal, How AI can help, and
Modules to use with guest Martin Anderson-Clutz. We’ll also cover
Augmentor AI as our module of the week.


For show notes visit:
www.talkingDrupal.com/436
Topics

Terminology

IMF analysis

Prompt engineering

AI in Drupal

Best way to try modules

Best use of AI

Other ways of integrating

Resources

Augmentor AI

Open AI

Prompt Engineering: Get the Most From Your Drupal Site's AI
Integration

Terminology

NLP - work with text provided in a conversational format,
understand the intended meaning, and provide a relevant
response

AI - A subset of CS that aims to develop systems that can
mimic human response, or automating sophisticated behavior

ML - subset of AI that aims to act without explicit
guidance, by extrapolating from known data

Deep learning - a subset of ML which uses artificial
neural networks with representational learning to develop and
leverage their own means of classification and other feature
detection

LLM - an AI algorithm that uses Deep Learning techniques
to accomplish NLP tasks such as responding to unstructured
user prompts. LLMs are trained on massive data sets, often
gathered from the internet, but sometimes using more
specialized data

Typically the AI interfaces our listeners are already
using are based on an LLM, but the nature and recency of the
data they’ve been trained on can vary widely. Recently Mike
Miles created Drupal Droid, a GPT model specifically trained
for Drupal developers, and you can find a demo of that in our
YouTube channel



Mike Miles Drupal Droid

AI module list

OpenAI Image

Search API Pinecone

TMGMT Translator OpenAI

Guests

Martin Anderson-Clutz - mandclu
Hosts

Nic Laflin - nLighteneddevelopment.com nicxvan
John Picozzi - epam.com johnpicozzi
MOTW Correspondent

Martin Anderson-Clutz - mandclu
Augmentor AI


Brief description:

Have you ever wanted a highly configurable way to
integrate multiple AI services with your Drupal site? There’s
a module for that.



Brief history

How old: created in Oct 2022 by murrayw of Morpht, though
recent releases are by elonel

Versions available: 1.1.2 which works with Drupal 9.5 and
10



Maintainership

Actively maintained, most recent release was earlier this
month

Documentation available

Number of open issues: 11, 3 of which are bugs



Usage stats:

82 sites



Module features and usage

To use Augmentor AI, you need to define one or more
“augmentor” configuration entities. An augmenter entity
implements an augmentor type, which determines what AI
service it can use, what configuration options it will have
available, and so on.

The augmentor will define one or more “messages” that
provide structure to the prompt that will be passed to the AI
model in order to generate a response. It can also be
configured in a variety of ways, such as how much randomness
to use, a maximum response length, and more.

You can expose your augmentor(s) to content creators by
adding a CKEditor button, or by adding fields to your site’s
entity forms. For each field use can choose the widget to
use, and how it should interact with any existing data in the
field you want to target.

For example, you could have it generate a summary from
your body field and have it automatically populate the
summary field. Or, you can have it suggest tags, but the
specialized widget renders each suggestion as a clickable
element that will add the tag to a core tag field.

There are currently modules available to integrate
Augmentor AI with ChatGPT, Google Cloud Vision, AWS AI, and
more.