Guys now I am certified in AI900!, I failed one time with this and another with Az900, but I tried one more time, I was waking up at 05:00 am for 2 months and I did a GPT to help me to study. I am so happy. Microsoft Certified: Azure AI Fundamentals learn.microsoft.com/api/cred…

Que el legado de Carlos Manzo, no muera. “A mi me podrán matar, a mi me podrán levantar, a mi me podrán intimidar o amenazar, pero afuera HAY UN PUEBLO QUE EXIGE JUSTICIA, HAY UN PUEBLO CANSADO, a mi me podrán chingar, pero se quedan con un tigre muy enfurecido” #CarlosManzo🙏🏼

Nano Banana + n8n is legitimately insane 🤯 Google's Nano Banana creates studio-quality static ads. But manually generating variations one-by-one takes forever. This n8n automation generates 1,000+ ad variations in minutes. Fully automated. Perfect for DTC brands & media buyers who need fresh creative for testing without hiring designers. Here's the problem: You need 50+ ad variations to test angles, but Nano Banana only outputs one image at a time. Manually uploading and tweaking prompts for each variation kills hours. This n8n automation solves it: → Upload ONE product image via n8n form → OpenAI Vision analyzes your product automatically → AI generates custom image prompts (you choose quantity: 50, 100, 1000+) → Nano Banana creates static ad images in bulk → All images auto-stored in Box for instant access No manual prompting. No designer bottlenecks. No waiting on agencies. What you get: → Hundreds of unique ad variations from one upload → Different angles, backgrounds, compositions → Production-ready static ads → Perfect for testing creative on Meta/TikTok Built 100% in n8n. Want the complete n8n template? > Comment "BANANA" > Like this post And I'll send it over (must be following so I can DM)

Nuevo agregado de benchmarks de la mano de Epoch AI para un mejor seguimiento de la evolución de las capacidades de la IA. Súper útil este tipo de mediciones 👍

En el vídeo mencioné que GoLU es más lenta por los exponentes, pero en realidad lo que la hace más lenta son las exponenciales, sobre todo cuando se usan una dentro de otra.

🚀GoLU: la función de activación SOTA que supera a Gelu y Swish 🚀 #deeplearning #machinelearningprojects Paper: arxiv.org/pdf/2502.03654. Repositorio: github.com/automl/GoLU.

Your RAG system is probably broken. Here's how to fix it in 2025. (𝗔𝗹𝗺𝗼𝘀𝘁!) 𝗘𝘃𝗲𝗿𝘆 𝗔𝗜 𝘁𝗲𝗮𝗺 𝗵𝗮𝘀 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: their RAG retrieves irrelevant chunks, hallucinates answers, and performs worse than expected. Here’s how to fix it: 𝗦𝘁𝗼𝗽 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹, 𝘀𝘁𝗮𝗿𝘁 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲. These RAG patterns are dominating production systems: • Naive RAG - weaviate.io/blog/introductio… • Agentic RAG - weaviate.io/blog/what-is-age… • Advanced RAG - weaviate.io/blog/advanced-ra… • Multimodal RAG - weaviate.io/blog/multimodal-… • Graph RAG - weaviate.io/blog/graph-rag?u… • Retrieve-and-rerank - docs.weaviate.io/weaviate/co… 𝗧𝗵𝗲 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗰𝗿𝘂𝘀𝗵𝗶𝗻𝗴 𝗶𝘁 𝘄𝗶𝘁𝗵 𝗥𝗔𝗚? They're orchestrating these patterns, not just chunking documents. Master your architecture with these FREE ebooks: 📌 Advanced RAG Ebook: weaviate.io/ebooks/advanced-… 📌 Agentic Architectures Ebook: weaviate.io/ebooks/agentic-a… Start here: Pick ONE pattern that solves your biggest retrieval pain point. Don't try to implement everything at once.

😅

Sora 2, "un pangolín surfeando en Hawai (bueno y Sam)", primer prompt Locura!

lol gj gabriel

A Gentle Introduction to the Bayes Optimal Classifier machinelearningmastery.com/b…

Here's our progress over the last 12 months

Beyond Vector Search: 5 Next-Gen RAG Retrieval Strategies machinelearningmastery.com/b…

Introducing Claude Sonnet 4.5—the best coding model in the world. It's the strongest model for building complex agents. It's the best model at using computers. And it shows substantial gains on tests of reasoning and math.

This is very exciting!.

Today we’re releasing research with @apolloaievals. In controlled tests, we found behaviors consistent with scheming in frontier models—and tested a way to reduce it. While we believe these behaviors aren’t causing serious harm today, this is a future risk we’re preparing for. openai.com/index/detecting-a…

Feature Scaling in Practice: What Works and What Doesn’t machinelearningmastery.com/f…

Ok, this is amazing 🤯🤩

💡This is a very useful article , I have seen a lot of marketing around AI and it is very sad to see how dirty marketing can be.

At Thinking Machines, our work includes collaborating with the broader research community. Today we are excited to share that we are building a vLLM team at @thinkymachines to advance open-source vLLM and serve frontier models. If you are interested, please DM me or @barret_zoph! Here are some example roles / projects: * Distributed inference engineer to support large-scale models on Blackwell GPUs * PyTorch & model optimization engineer to support & optimize latest OSS models * MLSys generalist for various aspects of vLLM