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#n8n #openai #finetune #llms In this video, I'll show you how I leverage N8N to fine-tune a model effectively. While there are many resources available on using LLMs with your existing data, I want to focus on the fine-tuning aspect and how it can make the results of your prompts more reliable and consistent. Whether you're looking to generate content that matches your tone or needing assistance with ongoing projects, fine-tuning a model to your specific style can save you a lot of time and effort. I'll walk you through the process step by step, sharing the N8N workflows I've created to make this task easier. Links 👉🏻 Newsletter https://newsletter.dailyai.studio/ 👉🏻 Training https://training.dailyai.studio/ 👉🏻 The book https://leanpub.com/php_and_llms 👉🏻 What the heck check out Recalls https://recallsnow.com/ Other Links Workflows https://workflows.nyc3.digitaloceansp... https://workflows.nyc3.digitaloceansp... JSON Lines https://jsonlines.org/ FineTune https://platform.openai.com/docs/guid... --- *Timestamps:* [00:00:00] Introduction to Fine-Tuning [00:01:03] RecallsNow Case Study [00:01:27] N8N Workflow Overview [00:02:03] Data Extraction [00:02:29] Prompting the LLM [00:03:10] Dealing with Local LLMs [00:03:27] Formatting Output [00:05:07] Creating the Required Input [00:05:45] File Preparation [00:07:02] Sending to Fine-Tune API [00:09:00] Testing the New Model [00:11:36] Wrapping It Up