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Source channel @githubtrending · Post #15377 · Dec 30

#python#ai#ai_agents#ai_coding#claude_code_plugin#claude_code_plugins#claude_code_plugins_marketplace#claude_marketplace#claude_plugin#claude_skills#docs#documentation#mcp#mcp_server#postgres#postgresql#skills pg-aiguide helps AI coding tools create better PostgreSQL code with semantic search of official docs, best-practice skills for schemas/indexes, and extension info like TimescaleDB. Install it free as a public MCP server or Claude plugin in tools like Cursor/VS Code for one-click setup. It fixes AI's weak spots—outdated code, missing constraints (4x more), indexes (55% more), and modern PG17 features—producing robust, fast, maintainable schemas that save you debugging time and production fixes. https://github.com/timescale/pg-aiguide

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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