Convince yourself of the high quality of the tcworld conference with our technical presentations

A presentation by speaker Gabriele Buchner at the tcworld conference 2023

Prompt engineering enables generative AI such as large language models to respond better. Basically, prompt engineering is a style of communication and minor changes to a prompt can have an enormous effect on the output, especially for complex tasks. The quality of a prompt will determine how good the response is. You can use elements of a prompt to instruct the model better and so improve training to get more accurate and relevant results.

A presentation by speaker Sarah S. O'Keefe at the tcworld conference 2024

For your customers to effectively use your products and services, it’s critical that technical, learning, and support content are fully integrated across content types. This "enabling" content helps your customers get their work done. Inside your organization, you almost certainly have three (or more!) organizations that are producing this content. Most likely, they each use a content authoring system that is optimized for their specific use case. And those content authoring systems work in isolation.

This is unacceptable.

We need to build out unified content operations so that we can single-source content components in a repository. Content objects such as instructions, definitions, and assessments can then be assembled from this single source of truth. Additionally, we must create shared infrastructure to deliver a unified customer experience; for example, enterprise taxonomy, localization, and design systems. 

Unfortunately, we currently don't have a solution for unified content. Instead, we must combine incompatible software systems. This presentation is a call to action to start working on an enterprise content operations approach.

A presentation by speaker Joe Pairman at the tcworld conference 2024

Delivery of tech docs often focuses on search — getting users to a good starting place. But users often have goals that a single page can’t cover. Serious tasks can require reference info, scenarios, and guidance. Users may need information in different media. Each user’s goal depends on their specific context, and they need to follow a unique path through the information. Writers cannot possibly design content for all of those users with all of their unique paths.

Many of the attempted techncal solutions in the field have been at best a partial success. At various times, tech docs have relied more on search, or more on manual hyperlinks, or taxonomy. Pages have been long or short, and other media have come and gone. Now AI offers easier ways to map content together, but even that’s not enough. Why?

Only a combination of techniques will give you the information model that you need. And the techniques on their own won’t get you all the way — you need an integrated design to bring your solution together. Learn how in this talk.

A presentation by speaker Matt Reiner at the tcworld conference 2024

With 2/3 of all learners saying they prefer video content, it’s crucial that we have the skills to create effective educational videos. In the past, the challenge has always been production time, with many short videos taking 8+ hours to complete.

Luckily, the team at K15t are both passionate about sharing our knowledge and also hyperfocused on efficiency.

In this talk, I’ll share the tools, techniques, and setup we’ve discovered that enable us to produce technical videos at a rapid pace. I’ll explore free and paid tools your team can use to make this happen, and highlight the skills you’ll need to develop to maximize the effectiveness of your video content.

I’ll explore the AI tools we’ve implemented into the process to speed up what used to be slow, human-powered jobs.

And, of course, you’ll leave with the resources you need to create the same sort of setup and toolchain we’ve used so your team can create video content just as quickly.

A presentation by speaker Gabriele Buchner at the tcworld conference 2024

Generative AI and large language models in particular can support technical writers and translators in many ways. In our talk, we’ll discuss the variety of available large language models as well as ways to control the model’s outputs through parameters. We'll also demonstrate how to build effective prompts using our custom modular approach that reduces onboarding time for new users and speeds up prompt iteration for experienced ones. In several practical examples for day-to-day use in writing and translation tasks, we’ll compare model outputs for different prompts and show how to enhance documentation with AI-generated multimedia content.