= Chat for one //A white paper about experiences with ChatGPT// == Introduction Over the last months, I spent some time chatting with ChatGPT. The first chats were rather uncertain and probing, getting an idea of the AI's capabilities of understanding and generating text. With more and more tasks the AI successfully performed, I became more daring, posing tasks where I didn't really expect the AI to return a meaningful response. In not so few cases, I was surprised. In some cases, I don't have a solid theory how ChatGPT did this. It's natural, that many of the tests focused on the question of how AI could help technical writers, translators, project managers, service technicians and other stakeholders in the field of Technical Documentation. But likeways, many other tests touched other areas, like music, games, cooking or retrieval of information of any kind. In software development, it proved extremely helpful, because it can not only describe how to proceed, but it can also generate code that tries to solve the problem - often, it does so quite intelligently. And when I mentioned music, it was helpful in songwriting by finding words that rhymed with a given ending, or by finding the chord for any given set of notes - so far, I expected it could do such things. However, I brought it to write new verses based on existing ones, tuning in to the mood of the song, and it was even aware of rhythm in relation with the lyrics. Amazing! Finally, I asked it to lead a simple pen and paper role playing session - first it seemed stubborn and only explained what pen&paper RPG is, but then it picked up the task. It seemed to have some trouble to remember how many gold pieces my character owned and what equipment in detail he has in a certain situation, but the adventure itself is quite consistent so far, and the interactions with other characters are quite realistic, they are consistent and each has a recognizable personality. All of the dialogs are based on the standard chat interface of ChatGPT that's available to everyone. To iron out the glitches in the performance of the AI models, the API based integration offers more possibilities. Knowledge can be injected in a structured form instead of exposing it verbally in a chat. While problems remain to be solved, including the one what happens with data when you type it into the chat or upload it through the API, the powers of ChatGPT's NLP model are fascinating and impressing in many different ways. I can encourage you to make your own tests, and remember, this is only the beginning... == Structuring confusing text {{{#!div style="background: #DDFFEE; margin: 5px; margin-left: 40%; margin-right: 30px; padding: 5px; border-radius: 10px;" Hello, I have a text here, it's a guide, but it's poorly structured. Can you please improve it? }}} {{{#!div style="background: #EEEEEE; margin: 5px; margin-right: 40%; margin-left: 30px; padding: 5px; border-radius: 10px;" Yes, I can definitely help you with that. Please share the text with me and I'll see what I can do. }}} {{{#!div style="background: #DDFFEE; margin: 5px; margin-left: 40%; margin-right: 30px; padding: 5px; border-radius: 10px;" Here it is: "Remove the cover plate after loosening all 4 screws on the sides. Then pull the locking bar forward and fold the insulation layer back. Before starting this work, unplug the device. The device operates on 230 volts and has a power consumption of 1000 watts. To replace the fuse, you must first remove the protective cap. Once the protective cap has been removed, you can replace the fuse. Pull out the fuse, insert the new fuse, put the protective cap back on, and then fold the insulation layer back down. Finally, tighten the screws on the cover plate. Place the cover plate on before doing so." Here's what you should do: * Segment it into simple and clear steps. * Order the steps correctly. * Extract technical data to a table. }}} {{{#!div style="background: #EEEEEE; margin: 5px; margin-right: 40%; margin-left: 30px; padding: 5px; border-radius: 10px;" Here's an improved version of the guide: Step-by-Step Guide: Step 1: Unplug the device[[br]] Before beginning any work, unplug the device from the power outlet to avoid electrical hazards. Step 2: Remove the cover plate[[br]] Loosen all 4 screws on the sides of the device.[[br]] Remove the cover plate. Step 3: Pull the locking bar and open the insulation layer[[br]] Pull the locking bar forward.[[br]] Fold the insulation layer back. Step 4: Replace the fuse[[br]] Remove the protective cap.[[br]] Take out the old fuse.[[br]] Insert the new fuse.[[br]] Put the protective cap back on. Step 5: Close the insulation layer[[br]] Fold the insulation layer back down. Step 6: Secure the cover plate[[br]] Place the cover plate back on.[[br]] Tighten the screws on the sides of the device. Technical Data: ||=**Voltage ** =||=**Power Consumption** =|| ||230 volts ||1000 W || }}} So, ChatGPT seems to be able to improve the quality of instructions by ordering them, applying some rules (like writing in clear and simple language), removing redundancy and even adding the information why it makes sense to unplug the device before opening it. So let's see what else it can do. == DITA Knowing that ChatGPT was able to extract information from an unstructured text and to transform it into a step-by-step procedure with warnings, I tried whether it was able to express this in DITA. I knew ChatGPT was able to create program code, or fixe code that does not work correctly. DITA is nothing entirely diffent. So I tried. I started out with simple cooking recipes. First, I retrieved instructions for pancakes. When I was satisfied with the recipe itself, I asked ChatGPT to create a DITA topic. It created a syntactically and grammatically correct DITA topic, but it was a topic, not a task. So I asked it to create a task. At first, it was invalid, but I was able to teach it how to perform the task correctly and ended up with a valid DITA task. In the next iteration, I asked it to place the ingredients as {{{prereq}}} and the warnings as {{{hazardstatement}}}. At first, the {{{hazardstatement}}} was wrongly structured, but I was also able to teach it how to write correct warning messages. To keep ChatGPT from just repeating what I tought it, I asked it to apply what it learned to a different task, resetting a Google Pixel 7 phone to factory settings. Here's the result: {{{ Performing a Factory Reset on Google Pixel 7 Before starting, make sure your Google Pixel 7 is fully charged and backed up. Performing a factory reset will erase all data on your phone. Data loss. Performing a factory reset will erase all data on your phone. Make sure you have backed up all important data before proceeding. Go to the Settings app on your phone. Scroll down and tap on System. Tap on Advanced. Tap on Reset options. Tap on Erase all data (factory reset). Follow the on-screen instructions to complete the reset process. }}} A similar task of explaining how to remove old paint using NaOH solution can be found [wiki:Public/StartPageAi here]. == Terminology correction and extraction {{{#!div style="background: #DDFFEE; margin: 5px; margin-left: 40%; margin-right: 30px; padding: 5px; border-radius: 10px;" Here's the text to be corrected:[[br]] The sintering device serves to vitrify material that is transported via the conveyor belt. The sintering plant is directly connected to the conveying device so that material from the previous processing station is vitrified without delay. When loading the material into the plant, it should be noted that the strands are not inserted twisted into the sintering chamber. Twisted strands can lead to the deactivation of the sintering heating system and render the material unusable. Here are the rules:[[br]] Term: sintering device[[br]] Forbidden: sintering plant, sintering chamber, sintering heating system Term: conveyor belt[[br]] Forbidden: conveying device }}} {{{#!div style="background: #EEEEEE; margin: 5px; margin-right: 40%; margin-left: 30px; padding: 5px; border-radius: 10px;" The sintering device is used to vitrify material that is transported via the conveyor belt. The device is directly connected to the conveyor belt, allowing material from the previous processing station to be vitrified without delay. When loading the material into the device, it should be noted that the strands should not be introduced twisted into the sintering chamber. Twisted strands can cause the deactivation of the sintering heating device and render the material unusable. }}} {{{#!div style="background: #DDFFEE; margin: 5px; margin-left: 40%; margin-right: 30px; padding: 5px; border-radius: 10px;" No, you should write "sintering device" instead of "sintering heating device", since the former is the term to be used according to the rules. }}} {{{#!div style="background: #EEEEEE; margin: 5px; margin-right: 40%; margin-left: 30px; padding: 5px; border-radius: 10px;" You are correct. I apologize for my mistake. Here's the corrected text: The sintering device is used to vitrify material that is transported via the conveyor belt. The device is directly connected to the conveyor belt, allowing material from the previous processing station to be vitrified without delay. When loading the material into the device, it should be noted that the strands should not be introduced twisted into the sintering chamber. Twisted strands can cause the deactivation of the sintering device and render the material unusable. }}} It basically performed quite well, but not perfectly well. This is quite characteristic for using the chat. It tends to forget things that were mentioned a while ago and they need to be brought back into consideration by repeating them. When using the API, rule sets can be uploaded which makes the process more reliable. I tested the same text in German before I tried English, and it performed significantly better. I assume, this is due to the way nouns can be composed in German. Apparently, this grammatical property of the German language makes it easier for ChatGPT to recognize terms (and then replace them). Tests with the extraction of technical terms (and then listing them in alphabetical order, grouped by nouns, verbs and adjectives) were successful in the sense that ChatGPT extracted many words it considered technical terms and sorted them correctly into the categories. However, it seemed to have a rather diffuse "understanding" of what a technical term is. Another problem that can be solved through the API by giving it many examples of text and the contained technical terms to train it. == Other markup Encouraged by these DITA results, I asked it to compile an HTML document with a table of CCMS products I gave it as input. I asked for a column that shows whether the software product fully supports DITA. It did not retrieve the information correctly in all cases, it was too optimistic. But that's only natural, it uses the info sources it has, and among them are surely websites where software vendors claim their products provide full DITA support while they don't. Again, if the system has access to solid data through the API, it should return reliable results. But I find the HTML and CSS very adequate. And if you want something changed, just ask for it. {{{#!xml CCMS DITA Support

CCMS DITA Support

Product DITA Support
One product Yes
Another product Yes
Yet another No
Cinnamon CMS Yes
}}} ChatGPT can apparently generate many types of files that can be expressed as text. Since SVG is basically XML, I tried whether ChatGPT can draw. I asked for a diagram with a few boxes with the acronyms "ERP", "CCMS" and "PIM", linked up with lines between them. Here's the result, after some iterations to improve the layout (center text, adjust box and text sizes, distances etc.). Again, this is something that can be done better with the API by providing static styling rules. [[Image(Public/ImageContainer:svg-by-chatgpt.png, align=center, width=50%, margin-bottom=20)]] // By Boris Horner, April 2023//