Is MLX the best Fine Tuning Framework?

🚀 Want to fine-tune AI models on your Mac without cloud services? As an ex-Ollama developer, I'll show you how to use Apple's MLX framework to fine-tune models efficiently on Apple Silicon. No more memory limits or compatibility issues!

🎯 In this video, you'll learn:
• How to set up MLX for fine-tuning on Mac
• Understanding LoRA and efficient model training
• Step-by-step data preparation and formatting
• Practical troubleshooting tips from real experience
• How to integrate fine-tuned models with Ollama

⏱️ Timestamps:
[00:00] Introduction & Background
[01:15] What is MLX?
[03:15] Setting Up Your Environment
[04:00] Understanding LoRA Fine-tuning
[05:33] Data Preparation Guide
[06:55] Fine-tuning Process
[08:16] Training Parameters Explained
[11:15] Finding & Formatting Datasets
[13:54] A More In Depth Look At The Commands
[16:15] Troubleshooting Common Issues
[17:32] Using Fine-tuned Models in Ollama

🔗 Resources mentioned:
• MLX Installation: pip install mlx-lm
• HuggingFace Datasets: https://huggingface.co/datasets
• Ollama: https://ollama.ai

👋 Drop a comment with your biggest Mac AI development challenge - I read every comment and use them to plan future videos!

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