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Wikipedia is releasing a dataset for training AI models as a means to dissuade bot scraping on its online encyclopedia. On Wednesday, The Wikimedia Foundation announced that it has partnered with ...

serving up its data directly to AI developers. On Wednesday, the Wikimedia Foundation announced a partnership with Google-owned company Kaggle to release a beta dataset "featuring structured ...

In a bid to dissuade AI developers from scraping raw article text from Wikipedia, the Wikimedia Enterprise has moved to release a dataset that has been designed with 'machine learning workflows in ...

While the model still isn't completely finished, Google has opted to make it fully available in Vertex AI and AI Studio with variable API pricing. Gemini 2.5 Flash will allow developers to set a ...

Wikipedia is attempting to dissuade artificial intelligence developers from scraping the platform by releasing a dataset that’s specifically optimized for training AI models. The Wikimedia ...

Wikipedia has created a machine-readable version of its corpus specifically tailored for AI training ... derivative works under the same terms. The dataset through Kaggle is available for any ...

is offering AI developers a dataset they can freely use. The organization has teamed up with Kaggle, a data science platform, to offer up a beta release of a structured dataset in both English and ...

Google’s Introduction to Vertex AI Studio is a Google Cloud Skills Boost course that students can take to gain a deeper understanding of generative AI as well as Google’s Vertex AI Studio.

Abstract: We propose a detection method based on the Parzen window method to mitigate inter-symbol interference. This method selects a trained dataset based on the neighboring symbols, following a ...