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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.
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 .
Mar 17, 2024 · We are releasing the base model weights and network architecture of Grok-1, our large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI. This is the raw base model checkpoint from the Grok-1 pre-training phase, which concluded in October 2023.
Explainable AI is used to describe an AI model, its expected impact and potential biases. It helps characterize model accuracy, fairness, transparency and outcomes in AI-powered decision making. Explainable AI is crucial for an organization in building trust and confidence when putting AI models into production.
Dec 5, 2023 · Explainable artificial intelligence(XAI) as the word represents is a process and a set of methods that helps users by explaining the results and output given by AI/ML algorithms. In this article, we will delve into the topic of XAI how it works, Why it is needed, and various other circumstances.
Explainable AI is a set of tools and frameworks to help you understand and interpret predictions made by your machine learning models, natively integrated with a number of Google's products and services. With it, you can debug and improve model performance, and help others understand your models' behavior.
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.
Nov 1, 2023 · Based on the literature, we highlight and discuss XAI’s open challenges and future directions in terms of (i) XAI system design, (ii) generalization of XAI, (iii) user interactions with XAI, (iv) XAI ground truth evaluation, and (v) advanced XAI tools.
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, also abbreviated as XAI, is a set of tools and techniques used by organizations to help people better understand why a model makes certain decisions and how it works. XAI is: A set of best practices: It takes advantage of some of the best procedures and rules that data scientists have been using for years to help others ...
