ChatGPT Glossary: 46 AI Terms Everyone Should Know

With Google, Microsoft, Apple, and OpenAI creating new AI models and systems, it's essential to stay updated on the latest terminology. The launch of ChatGPT in late 2022 revolutionized how people understand technology. For the first time, humans could engage in meaningful conversations with machines, asking questions in natural language and receiving novel answers—almost as if interacting with another person. This breakthrough spurred major tech companies like Google, Meta, Microsoft, and Apple to quickly integrate AI into their products.

While generative AI tools such as ChatGPT have captured much of the public's imagination—whether for helping with homework or creating complex digital art—the true potential of AI stretches far beyond these immediate uses. According to the McKinsey Global Institute, generative AI could contribute an astonishing $4.4 trillion annually to the global economy, fundamentally reshaping industries. AI’s presence is already expanding across a dizzying array of products, from Google’s Gemini to Microsoft’s Copilot and Anthropic’s Claude, to innovative gadgets from companies like Humane and Rabbit.

As AI continues to integrate more deeply into everyday life, it's crucial to understand its evolving language. Whether in casual conversations or professional settings, knowledge of key AI terms is becoming increasingly valuable.

Here’s a brief overview of some essential AI terms:

- AGI (Artificial General Intelligence): An advanced form of AI that could surpass human capabilities in performing tasks.

- Agentive: AI systems that act autonomously to achieve goals, like self-driving cars.

- AI Ethics: Guidelines ensuring AI systems don't harm humans, addressing data collection and bias issues.

- AI Safety: A field concerned with the long-term effects of AI, including the potential for hostile superintelligence.

- Algorithm: A set of instructions for AI systems to analyze data and learn independently.

- Bias: Errors in AI models stemming from the data used for training, leading to inaccurate outcomes or stereotypes.

- Chatbot: Programs like ChatGPT that simulate human conversation using AI.

- Generative AI: AI that creates new content, such as text, images, or videos, using patterns from existing data.

- Neural Networks: Models designed to mimic the human brain, enabling AI to learn from data and recognize patterns.

- Large Language Model (LLM): AI models trained on vast amounts of text to understand and generate human-like language.

- Deep Learning: A type of machine learning inspired by the human brain, allowing AI to recognize complex patterns.

- Prompt: The input or question provided to an AI system, guiding its response.

- Transformer Model: A neural network architecture that improves AI's ability to understand context within data.

- Turing Test: A test that assesses whether an AI can behave in a way indistinguishable from a human.

This glossary will be updated regularly as AI technology evolves, and more terms emerge. Whether you’re trying to impress at work or stay sharp in a field dominated by AI advancements, understanding these terms will help you navigate the new world of AI.

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Source: CNET

Link: [ChatGPT Glossary](https://www.cnet.com/tech/services-and-software/chatgpt-glossary-46-ai-terms-that-everyone-should-know/)