AI-900 Exam Guide
If you are looking to excel in the AI-900 exam and gain proficiency in Azure AI and machine learning concepts and services, then this book is for you. The Microsoft…
Enable or disable ACL crawling safely in Amazon Q Business
Amazon Q Business recently added support for administrators to modify the default access control list (ACL) crawling feature for data source connectors. Amazon Q Business is a fully managed, AI…
AI Explained
If you've ever been curious about artificial intelligence but felt overwhelmed by the topic, "AI Explained: Facts, Fiction, and Future" is the perfect guide for you. This concise 132-page book…
Making money with autoblogging and CyberSEO Pro
Autoblogging with CyberSEO Pro for WordPress - Earn money with affiliate marketing, AdSense, unique AI content and premium access.
Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker
In this post, we collaborate with the team working on PyTorch at Meta to showcase how the torchtitan library accelerates and simplifies the pre-training of Meta Llama 3-like model architectures.…
Artificial intelligence meets “blisk” in new DARPA-funded collaboration
Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.
How to Teach AI
If you're looking for a practical guide to incorporating artificial intelligence into your teaching, "How to Teach AI: Weaving Strategies and Activities Into Any Content Area" is the perfect resource…
“Generative AI: Thoughts from Inside Tech”
This book offers a deep dive into the world of generative AI from the perspective of knowledge workers. Filled with sobering talking points and insights from inside the tech industry,…
Create your fashion assistant application using Amazon Titan models and Amazon Bedrock Agents
In this post, we implement a fashion assistant agent using Amazon Bedrock Agents and the Amazon Titan family models. The fashion assistant provides a personalized, multimodal conversational experience.
Modeling relationships to solve complex problems efficiently
Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.