Fine-Tuning Language Models for Business: Making Large Language Models Truly Yours 0 like April 20, 2025 Share this post Last Updated on April 21, 2025 by Editorial Team Author(s): Janahan Sivananthamoorthy Originally published on Towards AI. Generated by: Grok/X Hi there!If you are a member, just scroll and enjoy the post!Not a member? click the link here to enjoy the full article. You know how I was totally geeking out about AI in my last couple of posts? We went down some rabbit holes, from how Large Language Models (LLMs) could be a game-changer in Enterprise Java setups to the seriously cool potential of Agentic AI. And Small Language Models (SLMs) — I was practically shouting from the rooftops about how they could be a big win for businesses. But after all that exploring, a big question just kept popping into my head: how do we take these super-smart AI brains and really mold them into our own intelligent tools? Tools that actually get the quirky way company does things? Maybe customer support has this really empathetic and understanding tone, even in tricky situations — could AI learn that? Well, it turns out, there are a couple of seriously clever tricks to make these AI brains way more attuned to what we need: fine-tuning and Retrieval-Augmented Generation (RAG). Think of fine-tuning as basically giving the AI our company’s specific homework so it learns our unique style, potentially leading to… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI Towards AI - Medium Share this post