Natural Language Processing

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. 

This program includes an introduction read by the author. No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now...

Mastering ChatGPT: A Comprehensive Guide to Using and Engineering Language Models for Natural Language Processing is a comprehensive guide to the cutting-edge technology of ChatGPT, the latest generation of GPT models. This book covers everything from understanding the basics of GPT-3 and its capabilities to advanced techniques for prompt engineering, fine-tuning for specific tasks, and utilizing GPT-3's built-in controllers and advanced features.

ChatGPT offers incredible possibilities for beginners and seasoned users alike, bridging the gap between basic use and career-enhancing prowess. This easy-to-follow guide unveils the potential lying within, eliminating any intimidation and replacing it with confidence and creativity.

Dieses Hörbuch ist so aufgebaut, dass Ihnen die Inhalte im Rahmen der geschichtlichen Entwicklung der KI vermittelt werden. Aus diesem Grund beginnt unsere Reise mit dem Punkt "Einführung und geschichtlicher Hintergrund der KI". Im zweiten Abschnitt greifen wir zunächst die anfänglichen Techniken der KI auf. Sie lernen dabei die Konzepte und berühmte Beispielsysteme kennen, die diese frühe Phase der Euphorie auslösten.