Summary

The aim of this introductory chapter was to highlight the history, core concepts, and other essential information necessary for readers to develop an end-to-end generative AI solution on the cloud. We have explored the evolution of chatbots from simple rule-based systems to multimodal, context-aware, and action-oriented agentic LLMs. We delved into the rise of generative AI, focusing on LLMs and foundation models as well as their relationship and key attributes. The differences between open source and closed source models were examined, alongside trending business applications drawn from our experiences. In the rapidly evolving landscape of AI, we’ve examined a few leading models, including text, image, audio, and video generation. These models represent the forefront of AI technology, showcasing remarkable capabilities in creating high-quality, lifelike content. We then highlighted how cloud computing facilitates the development of secure, scalable, cost-efficient,...