How can dotCMS users enable dotAI?

Install the dotAI plugin in your organization's dotCMS version 23.10.24 or later.

What can users do with the dotAI APIs and Velocity Code capabilities?

Provide custom AI capabilities to editors. Define and control where and how generative AI can (and can’t) be used. Use a standard API to access generative AI capabilities, so your site & app code doesn’t have to change when the AI vendor changes their API.

What can users do with the dotAI content management capabilities?

Ensure consistency of results across users and content, by defining a role for the AI and specifying writing and image styles. Create extremely granular AI-powered search indexes. AI-powered indexes can cover very specific sets of content (defined by a Lucene query, rather than by the paths to the content). This makes AI search indexes much more granular and customizable than the existing Site Search feature.

What can users do with the dotAI content generation capabilities?

Create new content easily (especially on non-niche topics). Create custom fields that simplify and control how content editors use AI. Use AI to generate copy (text) which understands your specific content and products. This is different from standard AI offerings, which were trained on the whole internet, and often generate incorrect information about your specific content and products.

What can users do with the dotAI AI Search capabilities?

Use generative AI trained on your own content. This provides better results, and dramatically reduces the chance of errors (hallucinations). Enable natural language search, simplifying search for users.

What can users do with the dotAI AI Chat capabilities?

Create customized chatbots for your site. These allow front-end users to interact with your site content - or just specific portions of your site content - dynamically. Simplifies adding natural language search to a website. Simplifies adding content-driven chatbot to a website. Enables using LLMs (Large Language Models) within dotCMS Workflows.

How is dotAI useful for business users?

Executives, legal, or compliance teams that want to enable AI capabilities, but ensure they’re implemented within an evaluation/review workflow.

How can developers use dotAI?

Developers who want to provide specific, defined AI capabilities in their applications or in their content editor experience. Developers who want to provide an improved search experience for front-end site users.

How is dotAI useful for marketers and content teams?

Content editors who are adding content in dotCMS and want to use AI to supplement or enhance their content. Digital marketers who want to make the search experience on their website more interactive and useful for their end-users.

How do the dotAI AI-powered workflows work?

Integrate the use of AI into sophisticated workflows. For example, to ensure that AI-generated content is reviewed by humans and/or legal teams before publication.

How does the dotAI AI-powered scripting and app development work?

Easily integrate AI capabilities into existing apps via APIs and Velocity code. For example, use any of the above features in SPAs, implement Custom content type fields which use AI, etc.

How do the dotAI AI chatbots work?

Enable creation of AI chatbots based on customer content. Chatbots can answer based on the specifics of customer content, such as details of customer products and how they work, instead of providing generic (and often wrong) answers based on generic web content.

How does the dot AI context-aware text generation work?

Use existing customer content to power AI text generation. For example, to automatically generate SEO description metadata for existing content, to enable users to enter natural language prompts to receive answers from customer documentation, or to implement a chatbot that can give answers based on your unique content.

How does the dotAI AI search work?

Perform natural language search within customer content. This is a step above keyword search as it understands related terms and nuances in both the search question and the underlying text.

How does the dotAI content and image generation work?

This allows content editors to generate content (copy and images) in the dotCMS Block Editor. For text generation, give the AI a prompt and ask it to write the copy. For image generation, you can also do this or skip the prompt, and tell the AI to generate an image based on the content you already have.

What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) covers a wide variety of technologies, which have been around in some form or another for many years. However, what most people are interested in isn't AI in general; it's some specific technologies that have recently become more widely known.

What are hybrid artificial intelligence (AI) models?

A hybrid artificial intelligence (AI) starts with a public model, and then you build your own context on top of it. Adding context essentially means instructing the base model that it should take some new information, such as your own product documentation, as a more important source of information than the underlying model. This way, when you ask it a question, it can return results that retain the power of the huge underlying model, which are customized for your particular purpose.

What are private artificial intelligence (AI) models?

Private artificial intelligence (AI) models are created based on your own (often proprietary) dataset.

What are public artificial intelligence (AI) models?

Public artificial intelligence (AI) models are created by people outside your organization using a large (often public) datasets.

What is an artificial intelligence (AI) Model?

In ML technology, the model refers to the dataset the system was trained on, as well as the various parameters that were used to train it. Changing either the data or the parameters changes the model, so each model is unique. In general, the more data the model is trained on, the more powerful it is.

Won't AI search just make content creators and marketers obsolete?

Not necessarily! While the role of content creation might shift, it won't disappear. Think of it as moving from broadcaster to curator. Your expertise and creativity will be even more valuable in crafting high-quality content that feeds the AI engine and resonates with specific user needs.

What type of artificial intelligence (AI) model has dotCMS adopted?

Hybrid artificial intelligence (AI) models have been adopted for using ML technologies within dotCMS.

What are the advantages of hybrid artificial intelligence (AI) models?

Hybrid models preserve most of the advantages of public models, while offsetting most of the disadvantages. Thankfully, since hybrid models are built on top of public models, they can also be implemented pretty close to right now.

What are the advantages of private artificial intelligence (AI) models?

Private models offset the two main disadvantages of public models. In other words, they can deliver responses which are customized for your own organization and products, and they fully preserve the privacy of your proprietary data. For example, a private model may be able to generate correct step-by-step instructions on how to perform a particular action with your product, and may do this even based on non-public data such as support tickets.

What are the disadvantages of private artificial intelligence (AI) models?

Private artificial intelligence (AI) models are typically trained on smaller datasets than public models, limiting their power, and they take time and money to build. The more powerful you want a private model to be, the longer it takes and the more it costs to build it.

What are the disadvantages of public artificial intelligence (AI) models?

Public models may not respect the privacy of your data. Second, public models don't understand the details that are specific to your product or organization. Instead, it will generate information based on its understanding of many different things of the same type.

What are the advantages of public artificial intelligence (AI) models?

There are three main advantages of public models. First, they've been trained on very large datasets, which makes them quite powerful. Second, since other people have already done the work (and spent the money) to train them, the cost to use them is relatively low. Third, you can use them literally right now - and right now is always a pretty important advantage.

What can users do with the dotAI AI-Powered Workflows capabilities?

Create workflow actions which generate AI content based on specific parameters, conditions, or content. Integrate AI into sophisticated, multi-step workflows. Ensure AI-generated content goes through review before publishing.

What is the difference between public and private artificial intelligence (AI) models?

Public models are created by people outside your organization and are based on large (often public) datasets. Private models are created based on your own (often proprietary) dataset.

Blogs

New Feature: Save Time and Improve Website Experiences with dotAI

Victoria Burt

When AI hit the mainstream in mid-2023, the mad dash to say your software had AI functionality began. dotCMS took a step back to evaluate the technology and market and started to gather our thoughts on how we believed AI would shape content management.

Since then, we’ve taken feedback from customers, prospects, and thought leaders in the space and built our first set of AI tools in dotCMS.

There are a few major features in this release of dotAI:

Image and Text Generation

One of the biggest benefits of AI is helping content editors save time by instantly generating content. Built right into the Block Editor, dotAI can be prompted to generate copy and images. It can also generate relevant images with no prompt at all based on the text already in your content

Automation and Review of AI Content

Repetitive tasks such as SEO metadata generation can be automated using AI-powered custom fields and dotAI Workflow actions. Whether automated or human-guided, all AI-generated content can be put through a workflow to ensure it’s reviewed by a human before it’s published.

AI Search and AI Chatbots

For websites that people are going to primarily to find information, chat-based search is a lot more user friendly and can return much better results than the classic keyword search. Users can ask questions, and AI will search the content of the website to find the most relevant answers, improving the experience end-users have finding information.

AI-Powered Scripting & App Dev

For developers building headlessly or developing an application on top of dotCMS, all this functionality is baked right into our REST API and Velocity ViewTool, so you can integrate these features into all your websites and apps.

We’re excited to continue to explore how AI will change content management and how it becomes an extension of existing workflows. We’ll continue our “tools, not toys” approach to AI this year by integrating dotAI deeper into the content editor experience. This will make it even easier for you to speed up repetitive tasks, maintain consistent branding, and manage the risks of using AI so you don’t miss out on the benefits.

Check out our documentation to learn more, or reach out to your CSM for more information on how to get started.

The Role of AI & Machine Learning in the Future of Content Creation

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More Than Just Chatbots: A Brief Overview of AI Technologies

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Victoria Burt

Director of Product Marketing

Filed Under:

ai - artificial intelligence dotai

New Feature: Save Time and Improve Website Experiences with dotAI

The Role of AI & Machine Learning in the Future of Content Creation

More Than Just Chatbots: A Brief Overview of AI Technologies

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New Feature: Save Time and Improve Website Experiences with dotAI

The Role of AI & Machine Learning in the Future of Content Creation

More Than Just Chatbots: A Brief Overview of AI Technologies

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Filed Under:

Recommended Reading

Universal CMS: The Death of "Pure" Headless CMS

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Highly Rated and Recommended