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Source channel @githubtrending · Post #14673 · May 5

#go#ai#assistant#cli#kubernetes **kubectl-ai** is a tool that helps manage Kubernetes using AI. It lets you ask questions or give commands in simple language, and it will execute the right Kubernetes actions for you. This makes it easier to manage your Kubernetes cluster without needing to remember complex commands. You can use it to check app status, create deployments, or troubleshoot issues, all by just typing what you want to do. It supports various AI models and can be used interactively or with other Unix commands, making it a powerful assistant for Kubernetes users. https://github.com/GoogleCloudPlatform/kubectl-ai

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@githubtrending · Post #15600 · 04/04/2026, 11:30 AM

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#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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#python #apple_silicon #florence2 #idefics #llava #llm #local_ai #mlx #molmo #paligemma #pixtral #vision_framework #vision_language_model #vision_transformer