摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx Edit Ors在德克萨斯州奥斯汀的新闻报道，研究人员称：“十多年来，机器学习(ML)模型在计算机视觉和自然语言处理(NLP)领域取得了长足的进步，在专门任务中表现出了高度的熟练程度。大规模语言和生成图像模型的出现，如ChatGPT和Stable Diffusion。”显著拓宽了这些技术的可及性和应用范围。这项研究的资助者包括NIH国家普通医学研究所(NIGMS)，国家研究机构(ANR)。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting out of Austin, Texas, by NewsRx edit ors, research stated, “For over a decade, machine learning (ML) models have been making strides in computer vision and natural language processing (NLP), demons trating high proficiency in specialized tasks. The emergence of large-scale lang uage and generative image models, such as ChatGPT and Stable Diffusion, has sign ificantly broadened the accessibility and application scope of these technologie s.” Funders for this research include NIH National Institute of General Medical Scie nces (NIGMS), Agence Nationale de la Recherche (ANR).
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