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Rapid sepsis test identifies bacteria that spark life-threatening infection

Nature Podcast

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Evolution of Training Data for Large Language Models and Impact on Future AI Models

The chapter delves into the transition of training data for large language models from human-generated to AI-generated data, raising concerns about the authenticity of future AI models. It discusses the widespread availability and implications of large language models and highlights Ilya Shmylov's work at the University of Oxford in training language models with human texts. The chapter also explores the challenges of training language models, the development of a pre-trained model, the fine-tuning process using a Wikipedia dataset, and the use of synthetic data in AI model training.

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