Generative AI: An Introduction to GPT, LLMs, and More

This post introduces the foundational concepts of Generative AI, Large Language Models (LLMs), and GPT, explaining their underlying technologies like transformers and the pre-training process. It highlights the challenges in building production-grade GenAI applications, such as context, memory, private data handling, and scaling. The post proposes the Kappa Architecture and Confluent's Kora engine as solutions to these challenges, setting the stage for a series that will delve into building a GenAI application with Retrieval-Augmented Generation (RAG). It also introduces prompt engineering as a key skill for interacting with LLMs.