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Showing posts with the label ai training

Exploring OpenAI Academy: Understanding AI’s Role in Journalism and the Mind

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Introduction to OpenAI Academy for News Organizations OpenAI has introduced a new initiative called the OpenAI Academy for News Organizations. This program is designed to assist journalists, editors, and publishers in learning how to use artificial intelligence effectively within their work. The Academy collaborates with groups like the American Journalism Project and The Lenfest Institute. Its goal is to provide training, practical examples, and guidelines for responsible AI use in newsrooms. The Human Mind and AI in Journalism Understanding how AI tools affect the human mind is essential when applying them in newsrooms. Journalists must adapt to new technologies while maintaining critical thinking and ethical judgment. The Academy’s focus on responsible AI use highlights the need to balance automation with human oversight. This balance influences how news is created, edited, and presented, impacting both the journalists’ cognitive processes and the audience’s perception. T...

Optimum ONNX Runtime: Enhancing Hugging Face Model Training for Societal AI Progress

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Introduction to Optimum ONNX Runtime In the growing field of artificial intelligence, efficient training of language models is crucial. Optimum ONNX Runtime emerges as a tool designed to facilitate this process, particularly for models developed with Hugging Face’s libraries. It aims to provide a faster and easier training experience, which could influence how AI technologies integrate into society. Understanding Hugging Face Models Hugging Face is known for its transformer models that support tasks like natural language processing. These models require substantial computational resources for training. Traditionally, training these models can be complex and time-consuming, posing challenges for researchers and developers aiming to apply AI in societal contexts. Role of ONNX Runtime in AI Training ONNX Runtime is a cross-platform inference engine that supports multiple hardware types. Its integration with Hugging Face models through Optimum ONNX Runtime allows for optimized e...