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2. List of programming languages for artificial intelligence

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

   In the context of AI, it is particularly used for embedded systems and robotics. Libraries such as TensorFlow C++, Caffe or Shogun can be used. [1] JavaScript is widely used for web applications and can notably be executed with web browsers. Libraries for AI include TensorFlow.js, Synaptic and Brain.js. [6]

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]

4. Bubble (programming language) - Wikipedia

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

   Bubble is a website making tool and a PaaS developed by Bubble Group. It can be used by people with limited or no programming experience to make web pages. It is a no-code development platform that allows users to create web applications through a visual interface without writing code. It offers t

5. Comparison of code generation tools - Wikipedia

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

   DMS Software Reengineering Toolkit: Semantic Designs Windows 2001 2.0 Proprietary: DRAKON: Stepan Mitkin cross-platform (Tcl/Tk) 2011 1.27 2016-03-10 Free GeneXus: GeneXus Cross Platform (multiple) 1991 v17 Proprietary: Genshi (templating language) Edgewall Software cross-platform (Python) 2006-08-03 0.5.1 2008-07-09 Jinja (Template engine ...

6. Generative artificial intelligence - Wikipedia

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

   In March 2020, 15.ai, created by an anonymous MIT researcher, was a free web application that could generate convincing character voices using minimal training data. [42] The platform is credited as the first mainstream service to popularize AI voice cloning ( audio deepfakes ) in memes and content creation , influencing subsequent developments ...

7. Text-to-video model - Wikipedia

   en.wikipedia.org/wiki/Text-to-video_model

   There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]