[{"data":1,"prerenderedAt":19},["ShallowReactive",2],{"post-en-slm-statt-llm":3},{"slug":4,"title":5,"description":6,"date":7,"dateFmt":8,"minutes":9,"tags":10,"related":14,"image":15,"imageOg":16,"imageAlt":17,"html":18},"slm-statt-llm","SLM instead of LLM: why smaller AI models are often the better choice","Large language models can do everything a little. For most business tasks, small specialized models (SLMs) are faster, cheaper — and your data stays with you.","2026-06-08","June 8, 2026",2,[11,12,13],"models","slm","fine-tuning","ki-modelle","\u002Fblog\u002Fslm-statt-llm-cover.webp","\u002Fblog\u002Fslm-statt-llm-cover.jpg","A small specialized AI model connecting to the everyday tasks of a business — documents, support, orders, data.","\u003Cp>When people talk about AI, they usually mean the very large models — the all-rounders behind the well-known chat services. They're impressive. But for most tasks inside a company they're the wrong tool: too expensive, too slow, and your data leaves the building. The more interesting category is the \u003Cstrong>SLM — Small Language Model\u003C\u002Fstrong>.\u003C\u002Fp>\n\u003Ch2>What is an SLM?\u003C\u002Fh2>\n\u003Cp>An SLM is a compact language model — small enough to run on your own hardware or inexpensive cloud infrastructure, large enough to genuinely understand language. The crucial point: an SLM doesn't have to do everything. It has to do \u003Cstrong>your\u003C\u002Fstrong> task.\u003C\u002Fp>\n\u003Cp>A model that understands incoming invoices doesn't need to write poetry. A model that classifies your shop's customer requests doesn't need to chat about world history. This specialization isn't a limitation — it's the advantage.\u003C\u002Fp>\n\u003Ch2>Why smaller is often better\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>Cost.\u003C\u002Fstrong> A specialized SLM does its one job for a fraction of a large model's API costs. At thousands of cases per month, that quickly adds up to a factor of 10 to 100.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Speed.\u003C\u002Fstrong> Smaller models answer in milliseconds instead of seconds. For automations sitting in the middle of your workflows, that's the difference between "runs live" and "runs eventually".\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Data sovereignty.\u003C\u002Fstrong> An SLM can run where your data lives — on your server, in your cloud environment, under your control. For anything involving customer data, prices or contracts, that's often not just nicer — it's the prerequisite.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Precision through specialization.\u003C\u002Fstrong> With fine-tuning (LoRA\u002FQLoRA), we train an existing model on your data: your products, your terminology, your tone. On the specialized task, the result regularly beats the generalists — because it doesn't have to guess what you mean.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"\u002Fblog\u002Fslm-statt-llm-datenhoheit.webp\" alt=\"Data sovereignty, pictured: the specialized model runs protected on your premises — the third-party cloud stays outside.\">\u003C\u002Fp>\n\u003Ch2>When a large model is still the right call\u003C\u002Fh2>\n\u003Cp>Honesty is part of it: for open-ended, creative tasks — complex writing, multi-layered analysis, tasks that need broad world knowledge — large models remain the right choice. In practice we therefore often build \u003Cstrong>hybrid\u003C\u002Fstrong>: the large model for the rare hard cases, the SLM for the thousand everyday ones. That way you pay large-model prices only where large-model performance is needed.\u003C\u002Fp>\n\u003Ch2>How we approach it\u003C\u002Fh2>\n\u003Cp>It starts with a \u003Cstrong>feasibility check\u003C\u002Fstrong>: we look at your task and your data and tell you whether an SLM can solve it reliably — and what training and operation would cost. Only then do we train, evaluate and roll out.\u003C\u002Fp>\n\u003Cp>How it works technically — frozen base model, trained adapter, your specialized model — is shown hands-on at \u003Ca href=\"\u002Fen\u002Fki-modelle\">Custom AI models\u003C\u002Fa>. And if you want to know whether your task is a case for an SLM: \u003Ca href=\"\u002Fen\u002Fkontakt\">just ask us\u003C\u002Fa>.\u003C\u002Fp>\n",1781540522073]