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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
  2. Results From The WOW.Com Content Network
  3. 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. ... (i.e. Python, C#, etc.). This requirement for ...

  4. Comparison of code generation tools - Wikipedia

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

    Several code generation DSLs (attribute grammars, tree patterns, source-to-source rewrites) Active. DSLs represented as abstract syntax trees. DSL instance. Well-formed output language code fragments. Any programming language (proven for C, C++, Java, C#, PHP, COBOL) DRAKON.

  5. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    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. Generative artificial intelligence - Wikipedia

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

    Generative artificial intelligence (generative AI, GenAI, or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, often in response to prompts.

  7. 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. [1] 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.

  8. 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 ...

  9. spaCy - Wikipedia

    en.wikipedia.org/wiki/SpaCy

    Platform. Cross-platform. Type. Natural language processing. License. MIT License. Website. spacy .io. spaCy ( / speɪˈsiː / spay-SEE) is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython.

  10. Sphinx (documentation generator) - Wikipedia

    en.wikipedia.org/wiki/Sphinx_(documentation...

    It was developed for, and is used extensively by, the Python project for documentation. Since its introduction in 2008, Sphinx has been adopted by many other important Python projects, including Bazaar, SQLAlchemy, MayaVi, SageMath, SciPy, Django and Pylons. It is also used for the Blender user manual and Python API documentation.

  11. Python (programming language) - Wikipedia

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

    Strings in Python can be concatenated by "adding" them (with the same operator as for adding integers and floats), e.g. "spam" + "eggs" returns "spameggs". If strings contain numbers, they are added as strings rather than integers, e.g. "2" + "2" returns "22". Python has various string literals :

  12. 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.