Generative Artificial Intelligence (AI) refers to algorithms that can be used to create new content (like ChatGPT), including audio, code, images, text, simulations, and video. Recent breakthroughs in this field have the potential to fundamentally change the way we create content.
1. The Evolution of Generative Artificial Intelligence
In the months and years since ChatGPT was released in November 2022, generative AI (Gen AI) has made significant strides. New tools, rules, or iterative technological advancements are introduced every month. While many people fear ChatGPT (and AI and machine learning more broadly), machine learning clearly has the potential to be a good thing. Over the years since its widespread deployment, machine learning has shown its impact in many industries, accomplishing tasks such as medical imaging analysis and high-resolution weather forecasting. A McKinsey survey in 2022 showed that AI applications have more than doubled in the past five years, and investment in AI is also rapidly increasing. It is clear that generative AI tools like ChatGPT (the GPT standard of generative pre-trained transformers) and image generator DALL-E (named after surrealist artist Salvador Dalí and the lovable Pixar robot WALL-E) have the potential to change the way many jobs are performed. However, the scope and risks of this impact remain unknown. Nonetheless, various types of organizations are racing to incorporate AI tools into their business models, hoping to get a piece of the pie. McKinsey research indicates that AI applications will add $4.4 trillion to the global economy each year. In fact, it seems likely that anything in the technology, media, and telecommunications sectors that is not related to AI will be considered redundant or ineffective within the next three years. But before we can unlock all this value, we need to clarify a few things: What is AI, how is it developed, and what does it mean for people and organizations?
2. What Is the Difference Between Machine Learning and Artificial Intelligence?
Artificial intelligence, as its name suggests, is the practice of making machines imitate human intelligence to perform tasks. You may have interacted with AI without even realizing it—voice assistants like Siri and Alexa are based on AI technology, and customer service chatbots pop up to help you navigate websites. Machine learning is a subset of artificial intelligence. Through machine learning, practitioners develop AI through models that can