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📊 otros Datos del norte global
Igual…. Ya sabemos cómo funciona el mundo… y sino mirá: solo el 5% de los unicornios son rentables 🤷🏻♀️
Interactive quantum neural network built with Three.js and GLSL shaders, wrapped in a glassmorphic UI. Click or drag sends pulses while form, colors, and density update in real time through the interface. Let me know in comments if you want the code and I’ll share it.
Ilya Sutskever: Humans aren’t AGI; they know little and learn constantly. Pretrained AGI on the other hand, overshoots by skipping that trial-and-error phase. Real intelligence comes from ongoing learning, not from starting out “finished.”
In addition to PyTorch itself, the PyTorch Foundation hosts projects like vLLM, DeepSpeed, and Ray, a clear signal that PyTorch is becoming the foundational language of AI. For Luca Antiga, @LightningAI CTO and the first PyTorch Foundation TAC Chair, the PyTorch Conference was…
I vibecoded this neural network visualization for my students and open sourced it. It shows a simple MLP trained on MNIST handwritten digits at several training steps. The visualization is using @threejs and it comes with training code in @PyTorch . Link + repo 👇
AI’s next frontier is Spatial Intelligence, a technology that will turn seeing into reasoning, perception into action, and imagination into creation. But what is it? Why does it matter? How do we build it? And how can we use it? Today, I want to share with you my thoughts on…
IGGT: a unified transformer for semantic 3D reconstruction IGGT is an end-to-end unified transformer that marries geometry with instance-level semantics. It achieves SOTA 3D reconstruction & understanding from 2D images, powering spatial tracking & open-vocabulary segmentation.
My new book just came out! 🎉😊 Kindle & e-book available now, print within 1–2 weeks. You can get it at: homl.info (you'll also find free online content there) Play with the notebooks at: github.com/ageron/handson… Hope you'll find it useful!
We’re one step closer to truly predictable reinforcement learning. @Meta’s ScaleRL brings the first solid framework to predict RL scaling in LLMs, estimating large-scale results from small runs. Their study also revealed that: • Not all RL setups scale the same way. • Tuning…
🔥 ¿QUÉ MODELO DE REGRESIÓN ELEGIR? GUÍA QUE TE AHORRARÁ HORAS DE DUDAS 🔥 ¿Te suenan a chino LM, GLM, GAMM o GLMM? ¿No sabes qué modelo usar para tu análisis y sientes que entras en un laberinto de términos? 🌀 Aquí te dejo una guía rápida y sencilla para salir de ese bucle.👇🧵
Esto es una locura. Kawasaki, de Japón, acaba de construir un robot de cuatro patas, CORLEO, que corre, trepa y salta como un caballo. Funciona con hidrógeno. Se siente como montar una bestia de ciencia ficción 🤯 6 características increíbles:
🐍 Data Visualization With Python 📈 — In this learning path, you'll see how you can use Python to turn your data into clear and useful visualizations so that you can share your findings more effectively #python #learnpython realpython.com/learning-paths…
realpython.com
Data Visualization With Python (Learning Path) – Real Python
In this learning path, you'll see how you can use Python to turn your data into clear and useful visualizations so that you can share your findings more effectively.
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