#191 Max: Fine-Tune Your Own LLM in 13 Minutes – The Complete Step-by-Step Guide

Why are top investors at Y Combinator looking for startups that can fine-tune? 🚀 Because it's the ultimate "competitive moat." We're revealing the complete guide to fine-tuning your own LLM in under 15 minutes.

We’ll talk about:

• A complete, step-by-step guide to fine-tuning your own LLM using the free tools Google Colab and the Unsloth library.
• Why fine-tuning is the key to building a defensible AI business that tech giants like OpenAI can't easily clone.
• A deep dive into LoRA (Low-Rank Adaptation)—the efficient technique that makes fine-tuning possible on a single, free GPU.
• How to use specialized datasets like Agent-FLAN to teach your model advanced "agentic" behaviors (reasoning and planning).
• Plus, a breakdown of the GPT-OSS models, how to save your model to Hugging Face, and running your custom model locally with Ollama.

Keywords: Fine-Tuning, LLM, Google Colab, Unsloth, GPT-OSS, LoRA, Agent-FLAN, AI Business, Competitive Moat, Hugging Face, Ollama, Open Source AI

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