AlbersjPart 8: Implementing the Agent and Toolchain SystemUnlock the power of AI workflows! Learn to build a flexible Agent class with dynamic toolchains in Phi-3-MLX. Elevate your AI game now.Aug 6Aug 6
AlbersjPart 7: Understanding LoRA Training with MLXDiscover how Low-Rank Adaptation (LoRA) enhances language model training with MLX in our latest tutorial. Learn to efficiently fine-tune…Aug 5Aug 5
AlbersjPart 6: Implementing Constrained Decoding for Phi-3-VisionGuide text generation with Constrained Decoding. Control output structure & content for tasks like code generatation & question answeringAug 4Aug 4
AlbersjPart 5: Implementing Choice Selection with Phi-3-VisionImplement choice selection for Phi-3-Vision: process prompts, encode options, predict with model, select best option, format output. UsefulAug 31Aug 31
AlbersjPart 4: Implementing Caching for Phi-3-Vision in MLXSupercharge Phi-3-Vision on Apple Silicon! Learn to implement caching in MLX for blazing-fast text generation. Optimize your AI model now!Aug 3Aug 3
AlbersjPart 3: Implementing Batching for Phi-3-Vision in MLXThis tutorial shows how to implement batching for Phi-3-Vision in MLX, enabling faster parallel processing of multiple inputs.Aug 2Aug 2
AlbersjPart 2: Implementing Su-RoPE for Phi-3-VisionImplementing Su-scaled Rotary Position Embeddings (RoPE) for Phi-3-Vision in MLXAug 2Aug 2
AlbersjPart 1: Basic Implementation of Phi-3-Vision in MLXTutorial on porting Phi-3-Vision to MLX, covering model structure, PyTorch to MLX translation, and basic text generation implementation.Aug 1Aug 1
AlbersjPorting Phi-3-Vision to MLX: A Python Hobbyist’s Journey into Advanced AI on Apple SiliconOptimize Phi-3-Vision for Apple Silicon: A Python hobbyist’s guide to porting advanced AI models to MLX. Run cutting-edge AI on your Mac!Jul 25Jul 25