#other#agent#llm#rag
Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research.
https://github.com/datawhalechina/happy-llm
⚖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