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Learn about artificial intelligence (AI), the field of computer science that develops and studies methods and software that enable machines to perceive and act in their environment. Explore the major goals, techniques, applications, and challenges of AI, as well as its origins and development over time.
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 uses a deep-learning model trained on public source code and natural language queries, and has faced licensing, privacy, and security controversies.
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.
Explainable artificial intelligence (XAI) is the ability to understand and explain the reasoning behind AI decisions or predictions. XAI aims to improve trust, transparency, and accountability of AI systems, and to overcome the "black box" problem of machine learning.
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.
Devin AI is a tool created by Cognition Labs that can perform software engineering tasks autonomously, such as coding, debugging, and planning. The tool has received praise, concern, and skepticism for its implications for the future of AI and software development.
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