The launch of ChatGPT in late 2022 revolutionized how people seek information online, enabling users to engage in natural language conversations with AI chatbots that respond in human-like manners. This shift prompted major tech companies like Google, Meta, Microsoft, and Apple to integrate AI features into their products. Beyond its conversational capabilities, generative AI has the potential to transform economies, with an estimated annual value of $4. 4 trillion, according to McKinsey Global Institute.

This technology is increasingly prevalent in various applications, including Google’s Gemini, Microsoft’s Copilot, and Anthropic’s Claude. Users can explore product reviews and updates on a dedicated AI Atlas hub. As society adapts to AI, new terms are emerging that are essential for understanding the technology. This glossary provides key AI concepts: - **Artificial General Intelligence (AGI)**: An advanced AI capable of self-improvement and performing tasks better than humans. - **Agentive Systems**: AI that can autonomously pursue goals without constant supervision. - **AI Ethics**: Guidelines to prevent AI from causing harm or exhibiting bias. - **AI Safety**: The study of AI's long-term impacts and potential risks. - **Algorithm**: Instructions that help a computer program analyze data. - **Alignment**: Adjusting AI to produce desired outcomes. - **Anthropomorphism**: Attributing human traits to nonhuman entities. - **Artificial Intelligence (AI)**: Technology that simulates human intelligence. - **Autonomous Agents**: AI equipped to complete specific tasks independently. - **Bias**: Errors in AI resulting from skewed training data. - **Chatbot**: A program that simulates human communication. - **ChatGPT**: An OpenAI chatbot utilizing large language model technology. - **Cognitive Computing**: Another term for AI. - **Data Augmentation**: Enhancing data diversity for AI training. - **Deep Learning**: A subset of machine learning using neural networks to find patterns. - **Generative AI**: Technology that creates content like text and images. - **Google Gemini**: A Google chatbot that accesses real-time internet data. - **Hallucination**: Inaccurate AI responses presented confidently. - **Large Language Model (LLM)**: AI trained on vast text data to generate human-like responses. - **Machine Learning (ML)**: AI that improves predictions without explicit instruction. - **Natural Language Processing (NLP)**: AI's ability to comprehend human language. - **Neural Network**: A model mimicking the human brain to identify patterns. - **Parameters**: Values determining LLM behaviors and predictions. - **Prompt**: An entry used to elicit responses from AI chatbots. - **Stochastic Parrot**: A metaphor for LLMs lacking true understanding of language. - **Turing Test**: A measure of a machine's resemblance to human behavior. - **Weak AI (Narrow AI)**: AI that is limited to specific tasks without broader learning capabilities. This glossary is continually updated to reflect the evolving AI landscape.