Learn how Stable Diffusion uses complex equations and machine learning to generate art from noise.

This post provides an intuitive introduction to the core concepts of deep learning. It covers the most important deep learning concepts and aims to provide an understanding of each concept rather than its mathematical and theoretical details. While the mathematical terminology is sometimes necessary and can further understanding, these posts use analogies and images whenever possible to provide easily digestible bits comprising an intuitive overview of the field of deep learning.

An introductory guide to LLMs captures the evolving ecosystem and practical application.

Summarizing recent developments and ethical concerns in the field of large language models.

A feed of noteworthy developments in AI.

Discover the top 100+ Stable Diffusion prompts for creating stunning AI-generated images.

Explore the fundamentals of prompt engineering for optimizing Large Language Model outputs.

Little is as important for the world’s future and our own lives as how this history continues.

The top podcast for those wanting no-hype, practical, real-world insight into what enterprises, public sector agencies, thought leaders, leading technology companies, pundits, and experts are doing with AI today.

Data Skeptic is your source for a perspective of scientific skepticism on topics in statistics, machine learning, big data, artificial intelligence, and data science. The weekly podcast and blog bring you stories and tutorials to help understand our data-driven world.

A thought-provoking examination of the potential impact of advanced AI on the future of humanity. How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology - and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial.

A podcast for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI.

A thought-provoking examination of the potential risks and implications of advanced artificial intelligence.

Bite-sized education to boost your AI knowledge - from beginner to pro. Learn through courses, workshops and their blog posts.

LSTMs are crucial for learning long-term dependencies in recurrent neural networks.

Annotated version of a transformer with comments adds explanation to the model architecture.

NVIDIA podcast exploring AI one person at a time - from the wildlife biologist tracking endangered rhinos across the savannah here on Earth to astrophysicists analyzing 10 billion-year-old starlight in distant galaxies to the Walmart data scientist grappling with the hundreds of millions of parameters lurking in the retailer’s supply chain.

This book explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up-to-date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multi agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.

Stephen Wolfram explores what's inside ChatGPT and its ability to produce meaningful text.

This MIT course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.

Stephen Wolfram explores what's inside ChatGPT and its ability to produce meaningful text.