In 2025, technical documentation will continue to evolve, becoming more AI-driven and immersive. AI will be essential for technical content professionals, streamlining workflows and enhancing user experiences to stay ahead of the curve.
To help you navigate this shift, we’ve curated a list of 10 AI resources that offer deep insights into Generative AI and its implications for technical documentation.
Generative AI, ChatGPT, and RAG:
A Beginner’s Guide
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.
Top 7 Generative AI Challenges and How to Handle Them
This survival guide addresses the top 7 GenAI challenges that companies face during their projects. It then elaborates how they can leverage their knowledge and resources to resolve these complex issues all while enhancing the value of their content. Read on to discover how, with the right approach and tools, businesses and GenAI capabilities are well-positioned to cultivate a symbiotic relationship.
The Role of Generative AI
in Technical Documentation
Reinventing Content Delivery with Generative AI
This webinar explores successful initiatives in GenAI-augmented Content Delivery, from search to reading experience, and personalized and automated question answering.You’ll see some examples of AI implementations on documentation portals.
How Generative AI is Transforming the World of 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.
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
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.
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.
You Might Also Like These AI Resources…
- IT Survey on 2025 Outlook: The State of Enterprise GenAI and Unstructured Data
- Content+AI, Demystifying and democratizing AI for content professionals
- The Wired’s Artificial Intelligence Database
- 📩 The Fluid Topics‘ Monthly Newsletter
Editor’s Note: This article was initially published in February 2024. It has been reviewed and updated in February 2025 to ensure accuracy, relevance, and the inclusion of any new developments and AI resources.
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