Using Amazon Bedrock

CHAPTER 1Introduction to Generative AI on AWS

In the past two years, generative AI has changed the way individuals and organizations have perceived and made use of AI. Generative AI refers to models that can create new content—such as text, images, or videos—based on training data. While technologies like Long Short-Term Memory (LSTM) networks, Generative Adversarial Networks (GANs), and variational autoencoders (VAEs) have long been part of this field, recent advancements have significantly accelerated its progress. Within the scope of this book, generative AI focuses on models available on Amazon Bedrock, including large language models (LLMs), multimodal language models (MLLMs), and diffusion models. Consider the swift acceleration of the AI landscape since the release of models like Claude (developed by Anthropic), enabling anyone to generate text for diverse use cases. Its capabilities have exceeded what most think AI can do—from generating new text, to answering users’ questions, to creating high-quality videos from a single line of text. Despite these breakthroughs, we have only a glimpse of its potential, as the field remains in the nascent stage of generative AI-driven innovation.

Generative AI's most significant impact is arguably its democratization, making it accessible to everyone. Previously, AI has always been seen as a technology that only those with the prerequisite knowledge could build solutions with and make use of. Advancements in generative AI have shifted ...