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AI is confusing — here’s your cheat sheet - The Verge

The Verge · 17h

Artificial intelligence (AI) is a complex and rapidly evolving field. In order to understand the latest developments, it is important to be familiar with common AI terms. AI refers to computer systems that can think like humans, but it is often used as a buzzword. Machine learning involves training AI systems to make predictions based on data. Artificial general intelligence (AGI) refers to AI that is as smart as or smarter than humans. Generative AI can create new text, images, and code. Hallucinations occur when AI tools make up responses based on training data. Bias can arise in AI systems due to the biases in the training data. Other terms include AI models, natural language processing (NLP), inference, tokens, neural networks, transformers, and more. AI systems are trained on data and parameters are variables that determine how the system responds. Hardware such as Nvidia's H100 chip and neural processing units (NPUs) are used to run AI systems. Companies like OpenAI, Microsoft, Google, Meta, Apple, and Anthropic are developing AI tools and models.