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El equipo de Anthropic acaba de publicar cómo hacer prompts en Claude para sacarle el máximo partido. 24 minutos. Gratis. Directo de los que lo construyeron. Lo he subtitulado al español. Guárdalo 🔖

Anthropic pays $750,000 a year for engineers who can build LLM architectures from scratch. Stanford taught the entire thing in 1 hour lecture & released it for free. Bookmark & watch this today before someone takes it down.

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

¡Brutal herramienta para hacer scrapping y automatización de páginas web con IA! De código abierto, con lenguaje natural (sin selectores) y compatible con modelos de IA. Te enseño cómo funciona y a extraer información fácil en muy pocas líneas de código:

Ni el dinero físico (a pesar de Hacienda), ni los transistores con pilas, ni los regeneradores (en especial para hospitales), ni los coches no eléctricos…, deben desaparecer. Reflexión tras #apagonespana

💥 ANNOUNCEMENT: Opik v1.2 is released! 💥 Opik is an open source LLM evaluation framework for: 🔥 Implementing LLM-based metrics 🪲 Logging/debugging LLM traces 💯 Scoring, annotating, and versioning LLM data And so much more. Check out the repo below.

RT @kaifulee: AI productivity suite @popai can create not only documents, speeches, and powerpoints, but can create video and images from t…

Haters will say this is AI 🕺🕺

Meanwhile at Microsoft headquarters.. 😅

Básicamente han destrozado a mi país 🇧🇴 Las reservas han bajado a casi cero. Es de ciegos pretender que no estamos en una crisis extremadamente preocupante.

LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable performance. In our new short course Quantization Fundamentals taught by @huggingface's @younesbelkada and @_marcsun, you'll: - Learn how to quantize nearly any open source model - Use int8 and bfloat16 (Brain float 16) data types to load and run LLMs using PyTorch and the Hugging Face Transformers library - Dive into the technical details of linear quantization to map 32-bit floats to 8-bit integers As models get bigger and bigger, quantization becomes more important for making models practical and accessible. Please check out the course here: deeplearning.ai/short-course…

Stanford offers FREE Data Science Education! World-class courses on: - Machine Learning - Computer Vision - Statistical Learning - Graph Neural Networks - Reinforcement Learning - Natural language processing (NLP) - Large Language Models (LLMs) Read more...👇

Ojalá más gente fuera a la universidad. Pública, privada, lo que sea. La OCDE estima que en LATAM solo el 12%-25% de graduados de secundaria lo logra (varia por país) No hay cupos. O no pueden pagar. O no pueden trabajar y estudiar. Educar a ese 75%-88% es el reto real.

Crazy!!

Looking for the best deep learning course? “Introduction to Deep Learning” by Bhiksha Raj (Carnegie Mellon) has got it covered. #deeplearning

9 potentes herramientas de IA para ahorrar horas de trabajo : 1. framedrop.gg - Buscador automático de cortos en livestream 2. Tldv.io - Resúmenes de reuniones de IA 3. Fliki.ai - Convierte texto en vídeos con IA 4. Charley.ai - Convierte 3 palabras en 10.000 5. Scispace.com - Asistente de investigación de IA 6. Stockimg.ai - Crear imágenes con IA 7. PDF.ai - Chatea con cualquier documento 8. Beautiful.ai - Creador de presentaciones AI 9. Uizard.io - Diseños impresionantes en minutos

Bard, powered by the Gemini Pro-scale model, debuts at the #2 position on the independent lmsys leaderboard. 🔥 Give it a try at bard.google.com. Bard is much better & has many more capabilities since its debut in March, thanks to everyone on the Bard/Gemini teams!

This trend has a boringly obvious explanation. Boys and girls used to hang out together more. The girls made the boys more liberal and the boys made the girls more conservative. But now the boys are at home playing shooter games, and the girls are at home posting on Instagram.