Jeffrey Allan

High performance teams don’t appear overnight. They’re built intentionally, cultivated carefully, and sustained with the right leaders who know what to look for and how to bring out the best in people. This Cheat Sheet gives you the at-a-glance traits of great teams, questions you should ask yourself as a leader, tips for how to become a risk-ready leader, and practical strategies for building and sustaining a thriving workplace culture.

Artificial intelligence is transforming how businesses operate. This cheat sheet is intended to give you a quick reference to the most important points from the book. Keep it handy as you plan, test, and expand your use of AI. Core AI concepts at a glanceNarrow AI: AI focused on a specific task (for example, fraud detection or product recommendations).

Although artificial intelligence (AI) has been around in some form since the 1950s, it was the first public release of ChatGPT and OpenAI’s foundational large language models (LLMs) like GPT 3.5 that made generative AI (GenAI) applications available to people who aren’t data scientists and computer geniuses.OpenAI’s models and models from companies such as Google, Facebook, Anthropic, and others ignited the world’s demand for increasingly sophisticated GenAI models and tools, and the market was quick to deliver.

When you’re new to crafting AI prompts, you can easily make mistakes. Using AI tools the right way makes you more productive and efficient. But if you aren’t careful, you may develop bad habits when you’re still learning. We clue you in to 10 mistakes you should avoid from the start in this video and article. Not Spending Enough Time Crafting and Testing PromptsOne common mistake when using AI tools is not putting in the effort to carefully craft your prompts.