Generative AI and LLMs for Dummies

This book provides an introductory overview to LLMs and gen AI applications, along with techniques for training, tuning, and deploying machine learning (ML) models.

Introduction

Generative AI (gen AI) and large language models (LLMs) are revolutionizing our personal and professional lives. From supercharged digital assistants that manage our email to seemingly omniscient chatbots that can communicate with enterprise data across industries, languages, and specialties, these technologies are driving a new era of convenience, productivity, and connectivity.

In the business world, gen AI automates a huge variety of menial tasks, saving time and improving efficiency. It generates code, aids in data analysis, and automates content creation, freeing knowledge workers to focus on critical and creative tasks. It also enhances personal experiences by tailoring content to your preferences, delivering personalized recommendations for playlists, movies, and news feeds that enrich our daily lives.

Traditional AI uses predictive models to classify data, recognize patterns, and predict outcomes within a specific context or domain, such as analyzing medical images to detect irregularities. Gen AI models generate entirely new outputs rather than simply making predictions based on prior experience. This shift from prediction to creation opens up new realms of innovation. For example, while a traditional predictive model can spot a suspicious lesion in an MRI of lung tissue, a gen AI app can also determine the likelihood that a patient will develop pneumonia or some other type of lung disease and offer treatment recommendations based on best practices gleaned from thousands of similar cases.

Both in the public sphere of the Internet and within the realm of private enterprise, the transformative potential of this rapidly evolving field is reshaping the way people live, work, and interact.

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