Is MLX the best Fine Tuning Framework?

šŸš€ 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! šŸŽÆ 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 ā±ļø 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 šŸ”— Resources mentioned: • MLX Installation: pip install mlx-lm • HuggingFace Datasets: https://huggingface.co/datasets • Ollama: https://ollama.ai šŸ‘‹ 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 šŸ”— šŸ‘‰šŸ» Subscribe (free): Ā Ā Ā /Ā technovangelistĀ Ā  šŸ‘‰šŸ» Join and Support: Ā Ā Ā /Ā @technovangelistĀ Ā  šŸ‘‰šŸ» Newsletter: https://technovangelist.substack.com/... šŸ‘‰šŸ» Twitter: Ā Ā /Ā technovangelistĀ Ā  šŸ‘‰šŸ» Discord: Ā Ā /Ā discordĀ Ā  šŸ‘‰šŸ» Patreon: Ā Ā /Ā technovangelistĀ Ā  šŸ‘‰šŸ» Instagram: Ā Ā /Ā technovangelistĀ Ā  šŸ‘‰šŸ» Threads: https://www.threads.net/@technovangel... šŸ‘‰šŸ» LinkedIn: Ā Ā /Ā technovangelistĀ Ā  šŸ‘‰šŸ» 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

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