In this article, you’ll learn: which GenAI skills are still relevant for the Agentic AI age. what additional skills you may need. how some job roles will change. You may still be reeling from the changes that Generative AI (GenAI) brought to your workplace (and daily life), and you’re trying to figure out what skills you needed to work successfully with those models (such as ChatGPT).

In this article, you'll learn:what is the definition of Agentic AIhow Agentic AI is a critical path toward artificial general intelligencewhat Agentic AI systems already existthe differences between AI agents and Agentic AIwhat are some examples of AI agents and Agentic AI systemsAgentic AI represents a significant shift in the evolution of AI.

If you’re interested in employing AI chatbots for your business, you’ve come to the right place. This article contains all the important stuff you need to know about what metrics to track; a quick list of things to do (and not do) with AI chatbots; and details on how to stay compliant with chatbot platform rules and government privacy laws.

Agentic AI is fast becoming the next big leap in artificial intelligence (AI), building on the momentum that began with ChatGPT. This cheat sheet offers a solid starting point for understanding Agentic AI, with articles that cover how it works, where you find it, how to manage it, and other tips and tricks for working with Agentic AI.

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.