Book Image

Artificial Intelligence Business: How you can profit from AI

By : Przemek Chojecki
Book Image

Artificial Intelligence Business: How you can profit from AI

By: Przemek Chojecki

Overview of this book

We’re living in revolutionary times. Artificial intelligence is changing how the world operates and it determines how smooth certain processes are. For instance, when you go on a holiday, multiple services allow you to find the most convenient flights and the best hotels, you get personalized suggestions on what you might want to see, and you go to the airport via one of the ride-sharing apps. At each of these steps, AI algorithms are at work for your convenience. This book will guide you through everything, from what AI is to how it influences our economy and society. The book starts with an introduction to artificial intelligence and machine learning, and explains the importance of AI in the modern world. You’ll explore how start-ups make key decisions with AI and how AI plays a major role in boosting businesses. Next, you’ll find out how media companies use image generation techniques to create engaging content. As you progress, you’ll explore how text generation and AI chatbot models simplify our daily lives. Toward the end, you’ll understand the importance of AI in the education and healthcare sectors, and realize the risks associated with AI and how we can leverage AI effectively to help us in the future. By the end of this book, you’ll have learned how machine learning works and have a solid understanding of the recent business applications of AI.
Table of Contents (10 chapters)

Natural Language Processing

2019 was especially significant for NLP. Various research breakthroughs happened, in particular the introduction of GPT-2 model for text generation by OpenAI. This model achieved never seen below accuracy in text generation, causing serious thoughts about security. The code of GPT-2 wasnt released all at once, OpenAI has opted for publishing a couple of models from weakest to strongest in 6 months span to ensure that it isnt used for malicious purposes.

Other research groups followed suit with Megatron (NVIDIA), BERT, Hugging Face, Allen Institute, culminating in Turing-NLG from Microsoft, the largest model in mid-2020. They all demonstrated that pre-trained language models could well solve various NLP tasks. All those models used massive datasets and considerable computing power. They were trained on large amounts of unlabeled text from the web (e.g. scraping articles from Reddit), and their underlying architecture was based on Transformers...