AI Business Strategies
AI Business Strategies is a must-read for anyone looking to gain a competitive edge in today's fast-paced business world. This book provides practical advice on how to leverage artificial intelligence…
How Planview built a scalable AI Assistant for portfolio and project management using Amazon Bedrock
In this post, we explore how Planview was able to develop a generative AI assistant to address complex work management process by adopting Amazon Bedrock.
ChatGPT
If you're a ChatGPT user looking to take your AI prompt engineering skills to the next level, "Mastering AI Prompt Engineering: The Ultimate Guide for ChatGPT Users" is the book…
Super charge your LLMs with RAG at scale using AWS Glue for Apache Spark
In this post, we will explore building a reusable RAG data pipeline on LangChain—an open source framework for building applications based on LLMs—and integrating it with AWS Glue and Amazon…
Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock
In this post, we learn how SnapLogic's Agent Creator leverages Amazon Bedrock to provide a low-code platform that enables enterprises to quickly develop and deploy powerful generative AI applications without…
Why Machines Learn
If you've ever been curious about how artificial intelligence works, "Why Machines Learn: The Elegant Math Behind Modern AI" is the book for you. In this 480-page hardcover, the author…
Amazon Bedrock Custom Model Import now generally available
We’re pleased to announce the general availability (GA) of Amazon Bedrock Custom Model Import. This feature empowers customers to import and use their customized models alongside existing foundation models (FMs)…
How to humanize AI content
Humanize AI-generated content with CyberSEO Pro, AI Autoblogger and RSS Retriever plugins. Learn the importance of content quality for search engines and get practical guidelines for making your AI-generated articles…
Making it easier to verify an AI model’s responses
By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.
Train, optimize, and deploy models on edge devices using Amazon SageMaker and Qualcomm AI Hub
In this post we introduce an innovative solution for end-to-end model customization and deployment at the edge using Amazon SageMaker and Qualcomm AI Hub.