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Source channel @githubtrending · Post #14732 · May 21

#csharp#ai#artificial_intelligence#llm#openai#sdk Semantic Kernel is a tool that helps developers build and manage AI systems easily. It supports multiple programming languages like C#, Python, and Java, making it versatile for different projects. This tool allows you to connect your AI models to various services and databases, which helps in automating tasks and making decisions based on user inputs. It's especially useful for businesses because it's reliable, secure, and can handle complex workflows. By using Semantic Kernel, developers can create intelligent AI agents that can interact with users and perform tasks efficiently. https://github.com/microsoft/semantic-kernel

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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