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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.
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xAI is a company working on building artificial intelligence...
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Learn what explainable AI (XAI) is, how it differs from regular AI, and why it is important for responsible and trustworthy AI development. Explore the techniques, tools and platforms that IBM offers to help you create and manage XAI models.
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 AI is a set of tools and frameworks to help you understand and interpret your machine learning models, natively integrated with Google's products and services. You can generate feature attributions, example-based explanations, and model analysis to debug and improve model performance, and help others understand your models' behavior.
4 de nov. de 2020 · La inteligencia artificial explicable (XAI) es la capacidad de entender y justificar las decisiones y predicciones de los algoritmos de inteligencia artificial. Descubre cómo funciona la XAI, sus tipos, sus ventajas y sus desafíos en este artículo de OpenSistemas.
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.
