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🚀 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! Subscribe for weekly insights on AI development across all platforms, focusing on practical solutions that actually work. #MachineLearning #AppleSilicon #AITutorial My Links 🔗 👉🏻 Subscribe (free): / technovangelist 👉🏻 Join and Support: / @technovangelist 👉🏻 Newsletter: https://technovangelist.substack.com/... 👉🏻 Twitter: / technovangelist 👉🏻 Discord: / discord 👉🏻 Patreon: / technovangelist 👉🏻 Instagram: / technovangelist 👉🏻 Threads: https://www.threads.net/@technovangel... 👉🏻 LinkedIn: / technovangelist 👉🏻 All Source Code: https://github.com/technovangelist/vi... Want to sponsor this channel? Let me know what your plans are here: https://www.technovangelist.com/sponsor