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Tabnine is an Israeli company that develops an AI coding assistant that helps developers with code generation, testing, fixing, documentation, and explanation. Founded in 2013 as Codota, it rebranded in 2021 and has over one million users and 10 million installations across various IDEs.
OpenAI Codex is an artificial intelligence model that parses natural language and generates code in response. It powers GitHub Copilot, a programming autocompletion tool, and is based on OpenAI's GPT-3 model, fine-tuned for use in programming applications.
GitHub Copilot is a code completion and automatic programming tool developed by GitHub and OpenAI that assists users of various IDEs by autocompleting code. It is powered by the OpenAI Codex, a modified version of GPT-3, and has been met with concerns over licensing, privacy, and security.
Replit is an American start-up and an online integrated development environment (IDE) that supports over 50 programming languages, including Python. Replit allows users to create, share, and collaborate on online programming projects called repls, and offers features such as source control, debugging, testing, and machine learning.
Learn about the history, applications, and challenges of generative AI, which is AI capable of creating text, images, videos, or other data using generative models. Explore examples of generative AI systems, such as chatbots, text-to-image models, and transformer networks.
A generative adversarial network (GAN) is a machine learning framework that learns to generate new data with the same statistics as a training set. It consists of two neural networks that compete in a zero-sum game, where one tries to generate realistic samples and the other tries to distinguish them from the real data.
Learn about the history and features of various programming languages used for AI applications, such as Python, R, Lisp, C++, and Prolog. Compare general-purpose and specialized languages, and their libraries and frameworks.
GPT-3 is a decoder-only transformer model of deep neural network that can generate text from various inputs. It has 175 billion parameters, a context window size of 2048 tokens, and can perform many natural language tasks with zero-shot or few-shot learning.