Management

Living and Working with AI

Written by Ethan Mollick. Published by Ebury in April of 2024.

The emergence of Large Language Models marks a significant leap forward in AI. LLMs are trained on massive datasets of text from the internet, books, articles, and other sources. This “pretraining” allows them to learn patterns and structures of human language. Fine-tuning with human feedback further refines their responses.

The latest LLMs like GPT-4 have demonstrated extraordinary capabilities, outperforming humans on a variety of tests and tasks. They can generate human-like stories, poems, essays, code, and even pass professional exams.

This book is part of the AI for Everything Series

Written by Edward P.K. Tsang

The synergy between AI and finance will bring lots of opportunities

In algorithmic trading market speed is crucial for taking advantage of obvious opportunities. However, investing in faster computers and networks is costly and leads to intense competition. A more effective approach is to focus on researching and discovering opportunities before competitors. The competition lies in the speed of seeking opportunities rather than the speed of computing equipment. It is essential to…