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  2. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Théâtre D'opéra Spatial, an image generated with Midjourney. Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of ...

  3. Automated journalism - Wikipedia

    en.wikipedia.org/wiki/Automated_journalism

    Automated journalism, also known as algorithmic journalism or robot journalism, [1] [2] [3] is a term that attempts to describe modern technological processes that have infiltrated the journalistic profession, such as news articles and videos generated by computer programs. [3] [4] [5] There are four main fields of application for automated ...

  4. Large language model - Wikipedia

    en.wikipedia.org/wiki/Large_language_model

    Learning with humans. Model diagnostics. Mathematical foundations. Machine-learning venues. Related articles. v. t. e. A large language model ( LLM) is a computational model notable for its ability to achieve general-purpose language generation and other natural language processing tasks such as classification.

  5. Lawmakers struggle to recognize AI-generated emails ... - AOL

    www.aol.com/lawmakers-struggle-recognize-ai...

    The researchers had undergraduate students write emails on various policy issues. They then used the AI language model GPT-3, which uses machine learning to generate text in response to prompts ...

  6. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals.

  7. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is enabled by in-context learning, defined as a model's ability to temporarily learn from prompts. The ability for in-context learning is an emergent ability [14] of large language models. In-context learning itself is an emergent property of model scale, meaning breaks [15] in downstream scaling laws occur such that its ...

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