{"id":9691,"date":"2026-02-27T12:30:57","date_gmt":"2026-02-27T11:30:57","guid":{"rendered":"https:\/\/www.star-deutschland.net\/?p=9691"},"modified":"2026-03-04T12:33:04","modified_gmt":"2026-03-04T11:33:04","slug":"quick-wins-for-technical-writing-local-llms","status":"publish","type":"post","link":"https:\/\/www.star-deutschland.net\/en\/quick-wins-for-technical-writing-local-llms\/","title":{"rendered":"Quick wins for technical writing \u2013 how local LLMs can speed up your daily work"},"content":{"rendered":"\n<p>Find out why local <a href=\"https:\/\/www.star-deutschland.net\/en\/language-management-consulting\/ai-in-language-processes\/\">large language models<\/a> (LLMs) are considered an insider tip for technical writing and how you can use AI to automate routine tasks.<\/p>\n\n\n\n<p>Is your company yet to discover knowledge-based chatbots? Do you want to ensure that your sensitive data does not leave the computer? If so, we have a host of practical tips to get you off to a good start.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why a local LLM makes sense for technical writers<\/h2>\n\n\n\n<p>Whether product changes, API updates or new features \u2013 technical documentation often needs to be adapted at short notice. This is precisely where local LLMs such as <a href=\"https:\/\/ollama.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Ollama<\/a> come into play:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data sovereignty:<\/strong> Your content remains in-house.<\/li>\n\n\n\n<li><strong>Offline capability:<\/strong> It can be used even without an internet connection.<\/li>\n\n\n\n<li><strong>Cost-effectiveness:<\/strong> No ongoing cloud fees.<br>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><em>Please note:<\/em> Ensure that you collaborate with your IT security department with regard to installation and configuration \u2013 safety first!<\/p>\n\n\n\n<p>A number of suitable local LLM environments are now available that can be used to perform simple tasks in the technical writing office. We took a closer look at the Ollama platform.<\/p>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Ollama at a glance \u2013 the local LLM platform<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"346\" src=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Startbild.png\" alt=\"Screenshot LLama Software\" class=\"wp-image-9665\" style=\"width:800px\" srcset=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Startbild.png 1000w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Startbild-200x69.png 200w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Startbild-150x52.png 150w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Startbild-132x46.png 132w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p style=\"font-size:20px\"><strong>Who is behind it?<\/strong><\/p>\n\n\n\n<p>Ollama is an open-source platform for running large language models (LLMs) locally. It was developed by Jeffrey Morgan (CEO) and Michael Chiang, the brains behind <em>Kitematic<\/em>, now part of Docker.<\/p>\n\n\n\n<p>Over 156,000 GitHub stars (as of 2025) show that the project is growing rapidly. Supported by Y Combinator, Ollama remains community-driven. The platform enables you to run various LLMs locally on your computer (Windows, MacOS, Linux). Unlike cloud-based services, your data remains under your control.<\/p>\n\n\n\n<p><strong>Advantages of Ollama<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>No cloud uploads of confidential data<\/li>\n\n\n\n<li>Integration of existing reference documents<\/li>\n\n\n\n<li>Rapid, repeatable text generation for manuals, API documentation or help files<br>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>Recommended models<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.llama.com\/models\/llama-3\/\" target=\"_blank\" rel=\"noreferrer noopener\">Llama3 \/ Llama3.1<\/a>&nbsp;\u2013 good balance of size and speed<\/li>\n\n\n\n<li><a href=\"https:\/\/mistral.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Mistral<\/a>&nbsp;\u2013 ideal for short, precise sections of text<\/li>\n\n\n\n<li><a href=\"https:\/\/ollama.com\/library\/gemma3\" target=\"_blank\" rel=\"noreferrer noopener\">Gemma3<\/a>&nbsp;\u2013 strong at text suggestions and summaries<br>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>After Ollama has been launched for the first time, the model is loaded locally. It is easy to install using an installer, and the application can then be launched via a user interface or from the CMD\/Powershell console.<\/p>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Get your local LLM ready to go in just a few steps<\/h2>\n\n\n\n<p style=\"font-size:20px\"><strong>1. Installation<\/strong><\/p>\n\n\n\n<p>Download Ollama at <a href=\"https:\/\/ollama.com\/download\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/ollama.com\/download<\/a> and follow the installation instructions. Afterwards, the loveable llama will welcome you.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1424\" height=\"747\" src=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-5.png\" alt=\"Screenshot LLama Software\" class=\"wp-image-9653\" style=\"width:800px\" srcset=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-5.png 1424w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-5-200x105.png 200w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-5-150x79.png 150w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-5-132x69.png 132w\" sizes=\"auto, (max-width: 1424px) 100vw, 1424px\" \/><\/figure>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p style=\"font-size:20px\"><strong>2. Download a suitable model<\/strong><\/p>\n\n\n\n<p>After installation, you can download a local model that is suitable for technical documentation or use a model that is already installed. <\/p>\n\n\n\n<p>Open Ollama, click on \u201cDownload\u201d and select, for example, <em>llama3.2<\/em>, <em>gemma3:4b<\/em> or <em>mistral<\/em>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"563\" height=\"579\" src=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-4.png\" alt=\"Screenshot LLama Software\" class=\"wp-image-9651\" style=\"width:400px\" srcset=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-4.png 563w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-4-194x200.png 194w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-4-146x150.png 146w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-4-128x132.png 128w\" sizes=\"auto, (max-width: 563px) 100vw, 563px\" \/><\/figure>\n\n\n\n<p>Alternatively, you can download additional models via the console in Windows (CMD or Powershell):<\/p>\n\n\n\n<p>To do this, use the command: ollama pull llama3:8b<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1367\" height=\"300\" src=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-7.png\" alt=\"Screenshot LLama Software\" class=\"wp-image-9657\" style=\"width:800px\" srcset=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-7.png 1367w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-7-1365x300.png 1365w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-7-1364x300.png 1364w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-7-200x44.png 200w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-7-150x33.png 150w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-7-132x29.png 132w\" sizes=\"auto, (max-width: 1367px) 100vw, 1367px\" \/><\/figure>\n\n\n\n<p>Wait until the model is fully downloaded \u2013 and you\u2019re all set.<\/p>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Hands-on: How to create a new section of text based on a reference document<\/h2>\n\n\n\n<p style=\"font-size:20px\"><strong>Starting point<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reference manual (e.g. Word or PDF) with older version of the documentation is available.<\/li>\n\n\n\n<li>New features or modified technology that require the document to be revised or reissued.<br>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p style=\"font-size:20px\"><strong>How it works: Update your manual efficiently \u2013 with local support<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Content reuse: Analysis of existing reference documents (PDF, DOCX) with LLM<\/li>\n\n\n\n<li>Structuring: Automatic generation of headings, lists and paragraphs<\/li>\n\n\n\n<li>Terminology harmonisation: Matching of technical terminology with targeted prompts<br><\/li>\n<\/ul>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p style=\"font-size:20px\"><strong>Practical tips: Prompt engineering for local LLMs made easy<\/strong><\/p>\n\n\n\n<p>The key to success lies not in the model itself, but in something known as \u201cprompt engineering\u201d. Since we are using a relatively small local model compared to GPT-4, we need to be very precise here. For our example scenario, we would like to create the new function \u201cComments at segment level\u201d based on an existing manual.<\/p>\n\n\n\n<p><strong>Prompt for creating a chapter<\/strong><\/p>\n\n\n\n<p>We came up with the following prompt for our enquiry. It is important to refer to the reference document, which you can insert using drag and drop.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"711\" height=\"672\" src=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild.png\" alt=\"Screenshot LLama Software\" class=\"wp-image-9647\" style=\"width:500px\" srcset=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild.png 711w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-200x189.png 200w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-150x142.png 150w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-132x125.png 132w\" sizes=\"auto, (max-width: 711px) 100vw, 711px\" \/><\/figure>\n\n\n\n<p>And the likeable llama replies:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1145\" height=\"898\" src=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-1.png\" alt=\"Screenshot LLama Software\" class=\"wp-image-9649\" style=\"width:800px\" srcset=\"https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-1.png 1145w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-1-200x157.png 200w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-1-150x118.png 150w, https:\/\/www.star-deutschland.net\/wp-content\/uploads\/2026\/03\/Blog_LLama_Bild-1-132x104.png 132w\" sizes=\"auto, (max-width: 1145px) 100vw, 1145px\" \/><\/figure>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p><strong>Example prompts for further useful queries<\/strong><\/p>\n\n\n\n<p><strong># Summary of content<\/strong><br>\u201cSummarise the contents of this file in 10 bullet points.\u201d<\/p>\n\n\n\n<p><strong># Creation of a new section<\/strong><br>llama3 model: \u201cCreate a new section for the \u2018Batch Export\u2019 feature in the style of the reference document. Use short, clear sentences and a level 3 heading. Focus on step-by-step instructions.\u201d<\/p>\n\n\n\n<p><strong># Formatting adjustments<\/strong><br>\u201cConvert all step lists in the following text into numbered lists. Keep the technical terms, but simplify the wording slightly.\u201d<\/p>\n\n\n\n<p><strong>Our tip:<\/strong> Always provide the reference document \u2013 this ensures that style and structure remain consistent.<\/p>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p style=\"font-size:20px\"><strong>Saving and post-processing<\/strong><\/p>\n\n\n\n<p>Even good AI needs editorial fine tuning:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Check the technical accuracy of the generated content.<\/li>\n\n\n\n<li>Adapt the wording to your editorial style.<\/li>\n\n\n\n<li>Add screenshots or diagrams if necessary.<\/li>\n\n\n\n<li>Test the steps described to ensure they are correct.<\/li>\n\n\n\n<li>Try out different models that suit your requirements.<\/li>\n<\/ul>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p style=\"font-size:20px\"><strong>Summary: Data protection meets productivity<\/strong><\/p>\n\n\n\n<p>Local LLMs such as Ollama open up new possibilities for <a href=\"https:\/\/www.star-deutschland.net\/en\/content-creation\/technical-writing\/\">creating technical documentation<\/a> \u2013 without any dependence on the cloud. With precise prompt engineering and targeted post-processing, you can achieve significant time savings without compromising data protection and data sovereignty. Give it a try: you\u2019ll be surprised at how quickly you achieve initial results.<\/p>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">More quick wins for technical writing<\/h2>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th class=\"has-text-align-left\" data-align=\"left\"><strong>Scope of application<\/strong><\/th><th class=\"has-text-align-left\" data-align=\"left\"><strong>Description<\/strong><\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-left\" data-align=\"left\">Automatic structuring<\/td><td class=\"has-text-align-left\" data-align=\"left\">Long passages of continuous text are separated into clear headings, lists and paragraphs.<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">Template creation<\/td><td class=\"has-text-align-left\" data-align=\"left\">A reference document is used to create a standardised template (e.g. consistent structure for \u201cFunction description\u201d, \u201cPrerequisites\u201d, \u201cExamples\u201d).<\/td><\/tr><tr><td class=\"has-text-align-left\" data-align=\"left\">Linguistic harmonisation<\/td><td class=\"has-text-align-left\" data-align=\"left\">All sections are harmonised to ensure a consistent style and tone (e.g. informal vs formal, passive vs active).<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">What you should bear in mind with local LLMs<\/h2>\n\n\n\n<p style=\"font-size:20px\"><span style=\"font-size: 20pxpt;\"><strong>Technical limitations<\/strong><\/span><\/p>\n\n\n\n<p><strong>Context window:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Problem: Large documents (&gt; 50 pages) \u2192 Possible loss of information during processing by the LLM<\/li>\n\n\n\n<li>Solution: Chapter-by-chapter processing<br>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>Risk of \u201challucinations\u201d:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Problem: Fictitious technical details in the generated content<\/li>\n\n\n\n<li>Solution: Prompt modification with restrictions, e.g. \u201cOnly change the explicitly highlighted area,\u201d \u201cDo not invent technical specifications.\u201d<\/li>\n<\/ul>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<p style=\"font-size:20px\"><strong>Compliance<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>GDPR: Compliance guaranteed through on-premises operation<\/li>\n\n\n\n<li>Security audit: Have your IT security team conduct risk analysis prior to implementation<br>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Local LLMs: Limits today \u2013 prospects for tomorrow<\/h2>\n\n\n\n<p>When local systems reach their limits \u2013 for example, when it comes to team-wide collaboration or larger volumes of documentation \u2013 the next step is clear: an integrated, cloud-based solution.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.star-deutschland.net\/en\/contact-us\/\">Get in touch with us<\/a> \u2013 we\u2019d be happy to show you how to optimally integrate AI into your technical writing processes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Find out why local large language models (LLMs) are considered an insider tip for technical writing and how you can use AI to automate routine tasks. Is your company yet to discover knowledge-based chatbots? Do you want to ensure that your sensitive data does not leave the computer? If so, we have a host of [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":9660,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[30,35],"tags":[17,36],"class_list":["post-9691","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-language-management-consulting","category-technology-and-software","tag-language-management-consulting","tag-technologie-and-software"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Quick wins for technical writing \u2013 how local LLMs can speed up your daily work - STAR Deutschland<\/title>\n<meta name=\"description\" content=\"Learn from Ollama\u2019s example and find out what quick wins you can achieve for technical writing by using local LLMs | Read more.\" \/>\n<meta name=\"robots\" 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