Fine-Tuning LLMs: From Zero to Hero with Python & Ollama 🚀

Author(s): MahendraMedapati

Originally published on Towards AI.

Ever wondered how to make AI models actually useful for YOUR specific needs? Let me show you how I went from confused beginner to fine-tuning wizard in just one weekend!

Picture this: You’re trying to get ChatGPT to extract product information from messy HTML, but it keeps giving you different formats every time. Sometimes it’s a paragraph, sometimes bullet points, sometimes it just… forgets half the data. Sound familiar?

This article explores the process of fine-tuning AI models, focusing on practical step-by-step instructions using Python and the Unsloth library. It highlights the importance of using quality datasets, setting up GPU resources, and incorporating techniques like LoRA for efficiency. The guide also emphasizes common pitfalls and practical tips to enhance model training, promoting an approach to make AI reliably useful for specific tasks like HTML data extraction, ultimately empowering users with skills to adapt AI for their unique needs.

Read the full blog for free on Medium.

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Published via Towards AI