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Source channel @githubtrending · Post #14717 · May 18
#jupyter_notebook Learning about Large Language Models (LLMs) can be very beneficial. You can build exciting projects over eight weeks, starting with simple tasks and moving to more complex ones. This journey helps you develop deep expertise in AI and LLMs. You'll learn by doing hands-on projects, which is a fun and effective way to understand how these models work. By the end, you'll have skills that can be used in real-world applications, making it a valuable learning experience. https://github.com/ed-donner/llm_engineering
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@derechoadministrativo · Post #171 · 12/10/2022, 10:41 AM
⚖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
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@ai_machinelearning_big_data · Post #8255 · 08/12/2025, 02:32 PM
🚀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
@testflightynoti · Post #37837 · 05/08/2026, 10:40 AM
#FitLocal#Find#Local#Trainers Join the FitLocal: Find Local Trainers beta on ✈️#TestFlight 🔗 Link: https://testflight.apple.com/join/tJE8FBcS Shared by Dimitri
@githubtrending · Post #15580 · 03/23/2026, 11:30 AM
#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