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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]

  3. Computable Document Format - Wikipedia

    en.wikipedia.org/wiki/Computable_Document_Format

    Computable Document Format (CDF) is an electronic document format [1] designed to allow authoring dynamically generated, interactive content. [2] CDF was created by Wolfram Research, and CDF files can be created using Mathematica. [3]

  4. Stephen Wolfram - Wikipedia

    en.wikipedia.org/wiki/Stephen_Wolfram

    Stephen Wolfram was born in London in 1959 to Hugo and Sybil Wolfram, both German Jewish refugees to the United Kingdom. [10] His maternal grandmother was British psychoanalyst Kate Friedlander. Wolfram's father, Hugo Wolfram, was a textile manufacturer and served as managing director of the Lurex Company—makers of the fabric Lurex. [11]

  5. ChatGPT in education - Wikipedia

    en.wikipedia.org/wiki/ChatGPT_in_education

    The usage of ChatGPT in education has sparked considerable debate and exploration. ChatGPT is a chatbot based on large language models (LLMs) that was released by OpenAI in November 2022. Educators' opinions vary widely; while some are skeptical about the benefits, many see them as valuable tools.

  6. GPT-4o - Wikipedia

    en.wikipedia.org/wiki/GPT-4o

    GPT-4o mini is the default model for users not logged in who use ChatGPT as guests and those who have hit the limit for GPT-4o. GPT-4o mini will become available in fall 2024 on Apple's mobile devices and Mac desktops, through the Apple Intelligence feature.

  7. Wolfram Mathematica - Wikipedia

    en.wikipedia.org/wiki/Wolfram_Mathematica

    Wolfram Mathematica is a software system with built-in libraries for several areas of technical computing that allows machine learning, statistics, symbolic computation, data manipulation, network analysis, time series analysis, NLP, optimization, plotting functions and various types of data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in ...