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C# can be used to develop high level machine learning models using Microsoft’s .NET suite. ML.NET was developed to aid integration with existing .NET projects, simplifying the process for existing software using the .NET platform. Smalltalk has been used extensively for simulations, neural networks, machine learning, and genetic algorithms.
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
Desktop publishing (DTP) application allows opening and editing of PDF documents; Allows compatible saving as PDF 1.3, 1.4, 1.5 and 1.7 and supports also PDF/X1, PDF/X1a and PDF/X-3. pdf-parser: Public Domain Python script Yes Extraction and analysis tool, handles corrupt and malicious PDF documents. PDFedit: GNU GPL: Yes Yes BSD Yes
GitHub Copilot is a code completion and automatic programming 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]
Adobe Illustrator is a vector graphics editor and design software developed and marketed by Adobe. Originally designed for the Apple Macintosh , development of Adobe Illustrator began in 1985 . Along with Creative Cloud (Adobe's shift to a monthly or annual subscription service delivered over the Internet ), Illustrator CC was released.
The company developed PDF software as an alternative to Adobe Acrobat. [4] In 2015, the company had sold 1 million licenses. In 2018, it introduced the Nitro Productivity and eSigning Suite. [4] As of 2018, Nitro PDF Pro was utilized by over 650,000 businesses. [5] In June 2021, the company acquired PDFPen, a PDF editing app for Mac, iPad, and ...
Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence. The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [ 1 ]
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