Learn more about QuantumBlack, AI by McKinsey. The full scope of that impact, though, is still unknown-as are the risks.īut there are some questions we can answer-like how generative AI models are built, what kinds of problems they are best suited to solve, and how they fit into the broader category of machine learning. It’s clear that generative AI tools like ChatGPT and DALL-E (a tool for AI-generated art) have the potential to change how a range of jobs are performed. A 2022 McKinsey survey shows that AI adoption has more than doubled over the past five years, and investment in AI is increasing apace. In the years since its wide deployment, machine learning has demonstrated impact in a number of industries, accomplishing things like medical imaging analysis and high-resolution weather forecasts.

While many have reacted to ChatGPT (and AI and machine learning more broadly) with fear, machine learning clearly has the potential for good. Others, among the wide range of people who earn their living by creating content, from advertising copywriters to tenured professors, are quaking in their boots. Starry-eyed fans posted examples of the chatbot producing computer code, college-level essays, poems, and even halfway-decent jokes.

And it’s popular too: over a million people signed up to use it in just five days. Developed by OpenAI, and released for testing to the general public in November 2022, it’s already considered the best AI chatbot ever. It’s a free chatbot that can generate an answer to almost any question it’s asked. That’s why ChatGPT-the GPT stands for generative pretrained transformer-is receiving so much attention right now.

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