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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.
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, 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.
OpenAI is an American company that develops artificial intelligence (AI) with the goal of creating "safe and beneficial" general AI. It is known for its language models, text-to-image and text-to-video models, and its partnership with Microsoft.
Replit is an American start-up and an online integrated development environment (IDE) that allows users to create and share code in various languages. Replit supports features such as collaborative coding, source control, debugging, unit testing, secrets management, databases, and machine learning.
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