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ConvNetJS Deep Q Learning Reinforcement Learning with Neural Network demo

ConvNetJS Deep Q Learning Reinforcement Learning with Neural Network demo
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Huawei funds launch of Alberta AI researcher Richard Sutton s lab after federal restrictions

01-ai/Yi-34B-Chat · Hugging Face

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Leveraging Generative AI and Large Language Models: A Comprehensive Ro by Ping Yu, Hua Xu et al

Generative artificial intelligence (AI) and large language models (LLMs), exemplified by ChatGPT, are promising for revolutionizing data and information management in healthcare and medicine. However, there is scant literature guiding their integration for non-AI professionals. This study conducts a scoping literature review to address the critical need for guidance on integrating generative AI and LLMs into healthcare and medical practices. It elucidates the distinct mechanisms underpinning these technologies, such as Reinforcement Learning from Human Feedback (RLFH), including few-shot learning and chain-of-thought reasoning, which differentiates them from traditional, rule-based AI systems. It requires an inclusive, collaborative co-design process that engages all pertinent stakeholders, including clinicians and consumers, to achieve these benefits. Although global research is examining both opportunities and challenges, including ethical and legal dimensions, LLMs offer promising a

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