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2. GitHub Copilot - Wikipedia

   en.wikipedia.org/wiki/GitHub_Copilot

   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. [ 1] Currently available by subscription to individual developers and to businesses, the generative artificial ...

3. OpenAI Codex - Wikipedia

   en.wikipedia.org/wiki/OpenAI_Codex

   OpenAI Codex is an artificial intelligence model developed by OpenAI. It parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool for select IDEs, like Visual Studio Code and Neovim. [ 1] Codex is a descendant of OpenAI's GPT-3 model, fine-tuned for use in programming applications.

4. List of programming languages for artificial intelligence

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

   Libraries such as TensorFlowC++, Caffeor Shogun can be used. [1] JavaScriptis widely used for web applications and can notably be executed with web browsers. Libraries for AI include TensorFlow.js, Synaptic and Brain.js. [6] Juliais a language launched in 2012, which intends to combine ease of use and performance.

5. Applications of artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Applications_of_artificial...

   Artificial intelligence supported design of aircraft, [ 362] or AIDA, is used to help designers in the process of creating conceptual designs of aircraft. This program allows the designers to focus more on the design itself and less on the design process. The software also allows the user to focus less on the software tools.

6. QuillBot - Wikipedia

   en.wikipedia.org/wiki/QuillBot

   QuillBot. QuillBot is a software developed in 2017 that uses artificial intelligence to rewrite and paraphrase text. [ 1][ 2][ 3][ 4]

7. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.