“The author is excited to share his experience of releasing the app and the lessons learned.”

“The article explains the paper's core concept: understanding forgetting as a decrease in accessibility, and its application in LLM-based access control.”

“The article focuses on making the last mile boring (in the best way).”

“The article likely details the technical aspects of the framework, its implementation, and evaluation.”

“The article's context, 'In Memorium,' suggests a critical assessment of the current state or potential future of academic journals.”

“Deleting that annotated example exploit allowed me to send the letter!”

“The article explains the technical process of fine-tuning an LLM to respond in the Kansai dialect.”

“A story about my long-running attempt to develop an output activation function better than softmax.”

“BioimageAIpub is a toolbox for AI-ready bioimaging data publishing.”

“The key power of using an easy to reason and read XML to define the pipeline logic, which every actor in a company, even non developers, can understand, maintain and edit.”

“We’re publishing our Raising Concerns Policy, which protects employees’ rights to make protected disclosures.”

“Further investigation into the leaked deck is needed to understand the specifics of the partnership proposals, including revenue sharing models and content usage terms.”

“Axel Springer is the first publishing house globally to partner with us on a deeper integration of journalism in AI technologies.”

“N/A - The provided text is a summary and lacks direct quotes.”

“We discuss the importance of the “distributed” nature of the institute, how they’re going about figuring out what is in scope and out of scope for the institute’s research charter, and what building an institution means to her.”

“The article doesn't contain a direct quote.”

“The article doesn't contain a specific quote to extract.”

“In our conversation, we discuss into the role of ML at Hearst, including their motivations for implementing it and some of their early projects, the challenges of data acquisition within a large organization, and the benefits they enjoy from using Google’s BigQuery as their data warehouse.”

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“The show discusses how publishers can take advantage of machine learning and data mining, how the role of “data scientist” is evolving and the emergence of the machine learning engineer, and a few of the hot technologies, trends and companies that he’s seeing arise around the world.”

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“Apple to Start Publishing AI Research”

“Deep Learning: An MIT Press book in preparation”