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  1. AI - C3.ai, Inc.

    Yahoo Finance

    29.57+1.000 (+3.50%)

    at Fri, May 31, 2024, 4:00PM EDT - U.S. markets closed

    Nasdaq Real Time Price

    • Open 28.80
    • High 30.00
    • Low 27.58
    • Prev. Close 28.57
    • 52 Wk. High 48.87
    • 52 Wk. Low 20.23
    • P/E N/A
    • Mkt. Cap 3.66B
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  3. Comparison of code generation tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_code...

    Code4Green-A Free Code Generation tool Code4Green: SharePoint, C#, VB.Net, Java, ASP.Net, HTML, SQL Database 2009 5.0 Proprietary: Code-g flexible pattern based code generator Abstractmeta Java 0.30 2012-05-20 Apache License 2.0 CodeBhagat CodeBhagat LLC Windows (C# / .NET) 2014 1.0 2014 Proprietary: CodeCharge Studio Yes Software

  4. AI will make coding skills more, not less, valuable—and it’s ...

    www.aol.com/finance/ai-coding-skills-more-not...

    AI’s ability to generate base code will free up tomorrow’s programmers—kids today—to better focus on creativity and problem-solving.

  5. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    v. t. e. Generative Pre-trained Transformer 3 ( GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3]

  6. List of programming languages for artificial intelligence

    en.wikipedia.org/wiki/List_of_programming...

    Python is a high-level, general-purpose programming language that is popular in artificial intelligence. It has a simple, flexible and easily readable syntax. [2] Its popularity results in a vast ecosystem of libraries , including for deep learning , such as PyTorch , TensorFlow , Keras , Google JAX .

  7. OpenAI - Wikipedia

    en.wikipedia.org/wiki/OpenAI

    They said that GPT-4 could also read, analyze or generate up to 25,000 words of text, and write code in all major programming languages. [194] Observers reported that the iteration of ChatGPT using GPT-4 was an improvement on the previous GPT-3.5-based iteration, with the caveat that GPT-4 retained some of the problems with earlier revisions. [195]

  8. GPT4-Chan - Wikipedia

    en.wikipedia.org/wiki/GPT4-Chan

    Generative Pre-trained Transformer 4Chan (GPT4-Chan) is a controversial AI model that was developed and deployed by YouTuber and AI researcher Yannic Kilcher in June 2022. The model is a large language model, which means it can generate text based on some input, by fine-tuning GPT-J with a dataset of millions of posts from the /pol/ board of ...

  9. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [69] and metaobjects ). [70]

  10. Generative artificial intelligence - Wikipedia

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

    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 their input training data and then generate new data that has ...

  11. Comparison of parser generators - Wikipedia

    en.wikipedia.org/.../Comparison_of_parser_generators

    To do so technically would require a more sophisticated grammar, like a Chomsky Type 1 grammar, also termed a context-sensitive grammar. However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration ...

  12. Open Neural Network Exchange - Wikipedia

    en.wikipedia.org/wiki/Open_Neural_Network_Exchange

    The Open Neural Network Exchange ( ONNX) [ ˈɒnɪks] [2] is an open-source artificial intelligence ecosystem [3] of technology companies and research organizations that establish open standards for representing machine learning algorithms and software tools to promote innovation and collaboration in the AI sector. ONNX is available on GitHub .