Recent Findings in Machine Learning Described by Researchers from Collaborations Pharmaceuticals Inc. (The Goldilocks paradigm: comparing classical machine lear ning, large language models, and few-shot learning for drug discovery applicatio ns)
Recent Findings in Machine Learning Described by Researchers from Collaborations Pharmaceuticals Inc. (The Goldilocks paradigm: comparing classical machine lear ning, large language models, and few-shot learning for drug discovery applicatio ns)
机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑发布了关于人工智能的新研究结果。根据来自合作制药公司的消息。NewsRx通讯员的研究指出，"Machi ne Learning(ML)的最新进展导致了较新的模型架构，包括Transformer（L arge Language Models，LM），显示了文本生成和图像分析的最新结果，以及少量镜头学习(FSLC)模型，这些模型在极小的数据集中提供了预测能力。"
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from the Collaborations Pharmaceu ticals Inc. by NewsRx correspondents, research stated, “Recent advances in machi ne learning (ML) have led to newer model architectures including transformers (l arge language models, LLMs) showing state of the art results in text generation and image analysis as well as few-shot learning (FSLC) models which offer predic tive power with extremely small datasets.”
Key words
Collaborations Pharmaceuticals Inc/Alg orithms/Business/Cyborgs/Drugs and Therapies/Emerging Technologies/Machine Learning
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