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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. 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. Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX.

  4. OpenAI Codex - Wikipedia

    en.wikipedia.org/wiki/OpenAI_Codex

    OpenAI claims that Codex can create code in over a dozen programming languages, including Go, JavaScript, Perl, PHP, Ruby, Shell, Swift, and TypeScript, though it is most effective in Python. According to VentureBeat, demonstrations uploaded by OpenAI showed impressive coreference resolution capabilities.

  5. AI will make coding skills more, not less, valuable ... - AOL

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

    Generative AI can create base code with a simple prompt, but it still needs an engineer or programmer to check that code, understand what needs to be modified, and then apply it to the right ...

  6. GitHub Copilot - Wikipedia

    en.wikipedia.org/wiki/GitHub_Copilot

    GitHub Copilot is a code completion tool developed by GitHub and OpenAI that assists users of Visual Studio Code, Visual Studio, Neovim, and JetBrains integrated development environments (IDEs) by autocompleting code.

  7. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. It features various classification , regression and clustering algorithms including support-vector machines , random forests , gradient boosting , k -means and DBSCAN , and is designed to ...

  8. LangChain - Wikipedia

    en.wikipedia.org/wiki/LangChain

    LangChain is a framework designed to simplify the creation of applications using large language models (LLMs). As a language model integration framework, LangChain's use-cases largely overlap with those of language models in general, including document analysis and summarization, chatbots, and code analysis.

  9. Help:Creating a bot - Wikipedia

    en.wikipedia.org/wiki/Help:Creating_a_bot

    Making your code open source has several advantages: It allows others to review your code for potential bugs. As with prose, it is often difficult for the author of code to adequately review it. Others can use your code to build their own bots. A user new to bot writing may be able to use your code as an example or a template for their own bots.

  10. Python (programming language) - Wikipedia

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

    Python has a "string format" operator % that functions analogously to printf format strings in C—e.g. "spam=%s eggs=%d" % ("blah", 2) evaluates to "spam=blah eggs=2". In Python 2.6+ and 3+, this was supplemented by the format() method of the str class, e.g. "spam={0} eggs= {1}".format("blah", 2).

  11. Project Jupyter - Wikipedia

    en.wikipedia.org/wiki/Project_Jupyter

    In August 2023, Jupyter AI, a Jupyter extension, was released. This extension incorporates generative artificial intelligence into Jupyter notebooks, enabling users to explain and generate code, rectify errors, summarize content, inquire about their local files, and generate complete notebooks based on natural language prompts.

  12. PyTorch Lightning - Wikipedia

    en.wikipedia.org/wiki/PyTorch_Lightning

    lightning .ai. PyTorch Lightning is an open-source Python library that provides a high-level interface for PyTorch, a popular deep learning framework. [1] It is a lightweight and high-performance framework that organizes PyTorch code to decouple the research from the engineering, making deep learning experiments easier to read and reproduce.