Puedes consultar nuestra traducción al español 💻 de la documentación de Sci-kit learn 0.24.2 ahora disponible en: ➡qu4nt.github.io/sklearn-doc-… #qu4nt #announces #Sklearn

Understanding AI-generated code will soon be worse than asking a former teammate for documentation. v/@PR0GRAMMERHUM0R

Well, maybe a git commit --amend every now and then wouldn't hurt either. v/@PythonPr

AirLLM lets you run massive open-source models like 70B LLMs on a single 4GB GPU without heavy quantization. By streaming layers efficiently, it makes local high-end AI inference accessible on little resources hardware. github.com/lyogavin/airllm

Why does an LLM speak in tokens? v/@BenjDicken

"En la era de la inteligencia artificial, lo mas humano se vuelve lo más estratégico." v/@dw_espanol

Uniaverso ofrece una biblioteca gratuita de prompts en ESPAÑOL para ChatGPT, Claude y Gemini. Instrucciones listas para copiar y pegar organizadas por temas prácticos, ideales para empezar a usar la inteligencia artificial desde cero sin complicaciones. uniaverso.com/prompts

UI, API, Business Logic, Database, and Hosting: Software's five basic building blocks. v/@midudev

No seriously, it worked on my machine! v/@PR0GRAMMERHUM0R

If you are still handling builds and deployments manually, you are wasting your time. GitHub Actions automates your entire workflow on every push, testing, linting, and shipping code without any friction. v/@NikkiSiapno

What is Docker and why use it? v/@techyoutbe #docker

Types of Data Professionals v/ @PythonPr

Classic data strutures. v/@visualcoders

Tencent's Hy-MT2 is a game-changer for local translation. The 1.8B lightweight model with extreme quantization runs fast on consumer hardware while beating major cloud APIs. Perfect for on-premise setups. github.com/Tencent-Hunyuan/H…

4 is the key.

A cheat sheet that provides a solid Kubernetes overview. v/@devops_nk