#python#ai#ai_art#art#asset_generator#chatbot#deep_learning#desktop_app#image_generation#mistral#multimodal#privacy#pygame#pyside6#python#self_hosted#speech_to_text#stable_diffusion#text_to_image#text_to_speech#text_to_speech_app
AI Runner is a tool that lets you use AI on your own computer without needing the internet. It can do many things like **voice chatbots**, **text-to-image** generation, and **image editing**. You can also make AI personalities for more interesting conversations. It runs fast and securely, keeping your data private. To use AI Runner, you need a good computer with a strong GPU, like an NVIDIA RTX 3060 or better. This helps keep your data safe and makes AI tasks faster.
https://github.com/Capsize-Games/airunner
⚖El TS fija doctrina sobre la capacidad y competencia de los plenos municipales para pronunciarse sobre cuestiones políticas de carácter internacional
#local#jurisprudencia
https://laadministracionaldia.inap.es/noticia.asp?id=1228267
🚀Jan-v1: локальная 4B-модель для веба — опенсорсная альтернатива Perplexity Pro
📌Что умеет
- SimpleQA: 91% точности, чуть выше Perplexity Pro — и всё это полностью локально.
- Сценарии: быстрый веб-поиск и глубокое исследование (Deep Research).
Из чего сделана
- Базируется на Qwen3-4B-Thinking (контекст до 256k), дообучена в Jan на рассуждение и работу с инструментами.
Где запускать
- Jan, llama.cpp или vLLM.
Как включить поиск в Jan
- Settings → Experimental Features → On
- Settings → MCP Servers → включите поисковый MCP (например, Serper)
Модели
- Jan-v1-4B: https://huggingface.co/janhq/Jan-v1-4B
- Jan-v1-4B-GGUF: https://huggingface.co/janhq/Jan-v1-4B-GGUF
@ai_machinelearning_big_data
#ai#ml#local#Qwen#Jan
#FitLocal#Find#Local#Trainers
Join the FitLocal: Find Local Trainers beta on ✈️#TestFlight
🔗 Link: https://testflight.apple.com/join/tJE8FBcS
Shared by Dimitri
#go#cli#database#database_management#dbms#environment#local#postgres#postgresql#supabase
Supabase CLI lets you run Supabase locally, manage database migrations, deploy functions, generate types from your schema, and make secure API calls. Install easily via npm (`npm i supabase --save-dev`), Homebrew, Scoop, or binaries for any OS, then run `supabase init` and `supabase start` to launch your full stack with local URLs and keys. This benefits you by speeding up development, testing changes offline without cloud costs, ensuring type safety, and simplifying CI/CD for reliable deploys.
https://github.com/supabase/cli