相关实验视频

Updated: Jul 2, 2025

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
09:29

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Published on: March 20, 2020

17.6K

用大型语言模型进行零射击推断的比较研究,以及乳腺癌病理学分类中的监督建模

Madhumita Sushil1, Travis Zack1,2, Divneet Mandair1,2

  • 1Bakar Computational Health Sciences Institute, University of California, San Francisco, USA.

Research square
|February 26, 2024
PubMed
概括

像GPT-4这样的大型语言模型 (LLM) 可以减少临床自然语言处理 (NLP) 研究中对广泛数据注释的需求. 这些模型的性能与监督方法相比或优于监督方法,加速了研究.

更多相关视频

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.2K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

558

相关概念视频

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
5.5K