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Explainable AI (XAI), often overlapping with interpretable AI, or explainable machine learning (XML), is a field of research within artificial intelligence (AI) that explores methods that provide humans with the ability of intellectual oversight over AI algorithms.
Machine learning and data mining often employ the same methods and overlap significantly, but while machine learning focuses on prediction, based on known properties learned from the training data, data mining focuses on the discovery of (previously) unknown properties in the data (this is the analysis step of knowledge discovery in databases).
This allows OpenAI to access Reddit's Data API, providing real-time, structured content to enhance AI tools and user engagement with Reddit communities. Reddit plans to develop new AI-powered features for users and moderators using OpenAI's platform. The partnership aligns with Reddit's commitment to privacy, adhering to its Public Content ...
Research analyst Dan Ives just compared DeepSeek's AI model to Chinese online retailer Temu. Dan Ives Just Called DeepSeek the "Temu of AI." Here's What That Means, and Why I Think He's Right.
Devin AI is an autonomous artificial intelligence assistant tool created by Cognition Labs. Branded as an "AI software developer", [1] the demo tool is designed to complete software development tasks. The tool has received praise, concern, and skepticism over implications surrounding the future of artificial intelligence and software development.
Google Translate previously first translated the source language into English and then translated the English into the target language rather than translating directly from one language to another. [11] A July 2019 study in Annals of Internal Medicine found that "Google Translate is a viable, accurate tool for translating non–English-language ...
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