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xAI is an AI company with the mission of advancing scientific discovery and gaining a deeper understanding of our universe. Our first product is Grok - a conversational AI.
Dec 5, 2023 · Explainable artificial intelligence (XAI) refers to a collection of procedures and techniques that enable machine learning algorithms to produce output and results that are understandable and reliable for human users.
XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for analysis and evaluation of data and models. The XAI library is maintained by The Institute for Ethical AI & ML, and it was developed based on the 8 principles for Responsible Machine Learning.
Explainable artificial intelligence (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases.
xAI is a company working on building artificial intelligence to accelerate human scientific discovery. We are guided by our mission to advance our collective understanding of the universe. Our team is led by Elon Musk, CEO of Tesla and SpaceX.
Nov 28, 2023 · Explainable AI (XAI) techniques provide the means to try to unravel the mysteries of AI decision-making, helping end users easily understand and interpret model predictions. This post...
Explainable AI (XAI), often overlapping with interpretable AI, or explainable machine learning (XML), either refers to an artificial intelligence (AI) system over which it is possible for humans to retain intellectual oversight, or refers to the methods to achieve this.
Explainable AI (XAI) refers to the ability of an artificial intelligence (AI) system or model to provide clear and understandable explanations for its actions or decisions. In other words, XAI is about making AI transparent and interpretable to humans.
May 24, 2021 · Explainable AI, or XAI, is a set of tools and techniques that help people understand the math inside AI models to provide greater transparency on decision-making.
XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contains various tools that enable for analysis and evaluation of data and models. The XAI library is maintained by The Institute for Ethical AI & ML, and it was developed based on the 8 principles for Responsible Machine Learning.
