This episode is sponsored by Shopify. Shopify is a commerce platform that allows anyone to set up an online store and sell their products. Whether you’re selling online, on social media, or in person, Shopify has you covered on every base. With Shopify you can sell physical and digital products. You can sell services, memberships, ticketed events, rentals and even classes and lessons. Sign up for a $1 per month trial period at http://shopify.com/eyeonai On episode #160 of Eye on AI, join Craig Smith as he sits down with Atul Deo, General Manager for Amazon Bedrock.  This episode delves into Atul's journey in the tech world, from his beginnings in computer science and business to spearheading major AI-powered projects at Amazon. Atul shares his insights on the development and impact of Amazon Bedrock, a platform designed to democratize access to advanced AI models. He discusses the evolution of machine learning, the integration of AI in customer care through Amazon Connect, and the emergence of generative AI technologies like Amazon Code Whisperer. Learn about the challenges and breakthroughs in creating AI applications, the significance of large language models, and Atul's vision for the future of AI at Amazon.   Don't forget to leave a 5-star rating on Spotify and a review on Apple Podcasts! Stay Updated:   Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview and Introduction (03:30) Exploring Bedrock and Atul’s Professional Journey (07:14) Diving Deep into Code Whisperer and AI-Powered Coding (10:54) The Future of AI in Code Generation and Review (13:23) Unveiling Bedrock's API and Its Ecosystem (16:36) Retrieval Augmented Generation (RAG) in AI (21:51) The Evolution and Integration of Vector Databases in AI (25:29) Confronting the GPU Shortage and AI Scalability (29:32) The Landscape of Foundation Models and AI's Future (33:27) Broadening the Horizon: From Language to World Models (38:33) Closing Thoughts and Future of AI