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🌍 New Tutorial Alert: Visualizing Google's AlphaEarth Satellite Embeddings in 3D! 🛰️🏙️ Google DeepMind has released AlphaEarth, a groundbreaking satellite embedding dataset on Google Earth Engine. It includes annual global embeddings from 2017 to 2024, where each pixel covers a 10×10 meter area. In this tutorial, you'll learn how... show more

Qiusheng Wu

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26,043 Aufrufe • vor 1 Jahr •via X (Twitter)

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🚀 GeoAI Tutorial 12: Wetland Mapping with Deep Learning and GeoAI! 🌍 Unlock the power of your geospatial data! Learn to train an wetland detection model and run inference on large datasets—all with just a few lines of code. 🎥 Watch the full tutorial here: 📓 Explore the notebook: 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

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231,602 Aufrufe • vor 7 Monaten

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LlamaIndex 🦙

34,945 Aufrufe • vor 6 Monaten

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New short course: Attention in Transformers: Concepts and Code in PyTorch. Last week we released a course on how LLM transformers work. This week, go deeper and learn about the technical ideas behind the attention mechanism, and see how to code it in PyTorch. This course is built with Joshua Starmer, Founder and CEO of StatQuest. The attention mechanism was a breakthrough that led to transformers, the architecture powering large language models like ChatGPT. Transformers, introduced in the 2017 paper: "Attention is All You Need" by Viswani and others, took off because of its highly scalable design. In this course, you’ll learn how the attention mechanism, a key element of transformer-based LLMs, works and implement it in PyTorch. You'll develop deep intuition about building reliable, functional, and scalable AI applications. What you will do: - Understand the evolution of the attention mechanism, a key breakthrough that led to transformers. - Learn the relationships between word embeddings, positional embeddings, and attention. - Learn about the Query, Key, and Value matrices, and how to produce and use them in attention. - Walk through the math required to calculate self-attention and masked self-attention to learn why and how they work. - Understand the difference between self-attention and masked self-attention and how one is used in the encoder to build context-aware embeddings and the other is used in the decoder for generative outputs. - Learn the details of the encoder-decoder architecture, cross-attention, and multi-head attention and how they are all incorporated into a transformer. - Use PyTorch to code a class that implements self-attention, masked self-attention, and multi-head attention. There're lots of exciting technical details in this course. Please sign up here:

Andrew Ng

132,400 Aufrufe • vor 1 Jahr

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GREG ISENBERG

184,568 Aufrufe • vor 1 Jahr

How to Create Unlimited AI Videos with Consistent Characters (100% FREE Grok + Google Flow Tutorial) In this video you will learn how to use Grok and Google Flow to create high quality AI videos with consistent characters from start to finish without paying for expensive software. You will learn the exact workflow for writing stories, generating character sheets, creating consistent AI images, animating scenes, adding AI voiceovers, and editing everything into a finished video. This tutorial covers AI character consistency, image generation, scene automation, AI animation, voice generation, and the complete process for creating professional AI videos using free tools. This information is for both new and experienced creators who want to produce high quality AI animations, build faceless YouTube channels, and automate their content creation workflow in 2026. MASTER PROMPT: ( CAMERA DIRECTION PROMPT: ( Like, Retweet and Bookmark. Follow BIG CHRIS Video Credit: BigWiz Media 🤝(

How to Create Unlimited AI Videos with Consistent Characters (100% FREE Grok + Google Flow Tutorial) In this video you will learn how to use Grok and Google Flow to create high quality AI videos with consistent characters from start to finish without paying for expensive software. You will learn the exact workflow for writing stories, generating character sheets, creating consistent AI images, animating scenes, adding AI voiceovers, and editing everything into a finished video. This tutorial covers AI character consistency, image generation, scene automation, AI animation, voice generation, and the complete process for creating professional AI videos using free tools. This information is for both new and experienced creators who want to produce high quality AI animations, build faceless YouTube channels, and automate their content creation workflow in 2026. MASTER PROMPT: ( CAMERA DIRECTION PROMPT: ( Like, Retweet and Bookmark. Follow BIG CHRIS Video Credit: BigWiz Media 🤝(

BIG CHRIS

73,798 Aufrufe • vor 2 Monaten