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Source channel @githubtrending · Post #15600 · Apr 4

#python#apple_silicon#florence2#idefics#llava#llm#local_ai#mlx#molmo#paligemma#pixtral#vision_framework#vision_language_model#vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm

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@producTICvidad · Post #1042 · 04/22/2023, 09:20 PM

Esto está muy poderoso... Eight dimensions of #DesignThinking capture important differences in how managers and designers perform their work and make decisions. 1️⃣ Design thinking has the potential to drive innovation and improve customer experiences in organizations. 2️⃣ To succeed, organizations must understand and adopt the principles of design thinking. 3️⃣ Developing the right culture and mindset is crucial for design thinking to be effective. 4️⃣Embracing collaboration, ambiguity, and iterative learning can help organizations leverage design thinking. 5️⃣ Openness to change and adaptability are essential for design thinking to deliver sustainable growth. https://sloanreview.mit.edu/article/can-design-thinking-succeed-in-your-organization/