Note that this post was written in February 2024 and will be updated as new advances are made.
In the ever-evolving landscape of technical documentation, artificial intelligence (AI) has emerged as a transformative force, offering innovative solutions to enhance content creation, streamline workflows, and elevate the user experience.
For technical content professionals seeking to harness the potential of AI, a wealth of resources is available. In this article, we will highlight 10 AI resources specifically tailored for technical documentation experts to learn more about Generative AI and what it means for their business.
Generative AI, ChatGPT, RAG 101
What is Generative AI and How Does it Impact Businesses?
Generative AI has massive implications for business leaders—and many companies have already gone live with generative AI initiatives. In this blog post, BCG explores the concept of Generative AI, how you can scale AI across your organization and how it can disrupt or benefit your business.
What is ChatGPT Doing and Why Does It Work?
In his blog post, Stephen Wolfram, prominent computer scientist, examines the functionality and underlying principles of ChatGPT. He discusses the model’s ability to understand and generate text in response to user prompts, emphasizing its capacity to generate coherent and contextually relevant responses across various topics. Wolfram delves into the intricate workings of ChatGPT, explaining how it processes input, retrieves information, and generates output based on learned patterns and probabilities. He also explores the role of large-scale training data and the significance of fine-tuning to improve the model’s performance in specific domains.
What is Retrieval-Augmented Generation (RAG)?
In this video, IBM Senior Research Scientist Marina Danilevsky explains the Large Language Models (LLM)/RAG framework and how this combination delivers two big advantages, namely: the model gets the most up-to-date and trustworthy facts, and you can see where the model got its info, lending more credibility to what it generates.
GenAI for Technical Documentation
How does the emergence of GenAI influence the landscape of technical communication? Fabrice Lacroix, CEO at Fluid Topics, provides insights into where this trend is headed in this feature for tcworld magazine. The potential is even more remarkable than initially anticipated.
6 Reasons to Train Your Large Language Models with Structured Content
LLMs will radically change the way enterprises deliver content to employees, customers, partners, and regulators. While it’s clear this change is coming, it’s less clear what this means for how enterprises create and manage their content. In this blog post, Alex Abey explains how investing in structuring and enriching your enterprise content turbocharges the results you can deliver via an enterprise LLM.
Applications of AI for Knowledge Content
In this podcast, Sarah O’Keefe,CEO at Scriptorium, and Stefan Gentz of Adobe discuss what knowledge content is, what impacts AI may have, and best practices for integrating AI in your content operations.
“As a company and as a content producer who’s publishing content, you are responsible for that content, and you cannot rely on an agent to produce completely accurate information or information that is always correct.“
Stefan Gentz, Senior Worldwide Evangelist for Technical Communication at Adobe
Structuring AI Prompts For Technical Communication
In this webinar, Lance Cummings will unpack how structured content can optimize your interactions with AI, especially when crafting prompts across teams for technical communication. Cummings draws on real-world examples to demonstrate the potential of structured content in improving AI efficiency and outputs. Whether you’re a technical writer, engineer, or business leader, you’ll gain new perspectives on revolutionizing generative AI through intentional prompt design.
Why the Future of AI Relies on Structured Content
This Acrolinx’s webinar dives into the strategies and practical solutions to help technical writing teams and enterprise content owners improve editorial workflows and manage the risks associated with generative content.
AI in Technical Communication and Content Strategy
The emergence of generative AI, LLMs, and other AI technologies undoubtedly has a profound impact on everyone. Within the technical documentation world, Sarah O’Keefe, identifies three key repercussions:
- how AI agents can support technical documentation workflows
- the ability to create content with generative AI
- the ways that AI is changing the delivery of technical content – and across them all, the need for guardrails and strategic thinking.
Breaking Barriers: Content Pros as GenAI Pioneers
This webinar, featuring Amber Swope, Lief Erickson and Fabrice Lacroix, explores why Content specialists should take the lead with GenAI projects! Discover how their skills drive AI initiatives, shaping content into user-centric experiences and how empowering content professionals sparks innovation and delights customers.
You Might Also Like…
- The 2023 Expert Survey on Progress in AI
- What’s DCL doing with AI?
- Content+AI, Demystifying and democratizing AI for content professionals
- The Wired’s Artificial Intelligence Database
- 📩 The Fluid Topics‘ Monthly Newsletter
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