Results 11 to 20 of about 117,067 (357)
Reading and Generalist Genes [PDF]
Mind, Brain, and Education, 2007 ABSTRACT— Twin‐study research suggests that many (but not all) of the same genes contribute to genetic influence on diverse learning abilities and disabilities, a hypothesis called generalist genes. This generalist genes hypothesis was tested using a set of 10 DNA markers (single nucleotide polymorphisms [SNPs]) found to be associated with early ...
Haworth, Claire M. A. +3 more
openaire +6 more sources
Mind2Web: Towards a Generalist Agent for the Web [PDF]
Neural Information Processing Systems, 2023 We introduce Mind2Web, the first dataset for developing and evaluating generalist agents for the web that can follow language instructions to complete complex tasks on any website.
Xiang Deng +7 more
semanticscholar +1 more source
Foundation models for generalist medical artificial intelligence
Nature, 2023 The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine.
Michael Moor +6 more
semanticscholar +1 more source
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning [PDF]
International Conference on Learning Representations, 2023 We introduce MAmmoTH, a series of open-source large language models (LLMs) specifically tailored for general math problem-solving. The MAmmoTH models are trained on MathInstruct, our meticulously curated instruction tuning dataset.
Xiang Yue +7 more
semanticscholar +1 more source
Towards Generalist Biomedical AI [PDF]
NEJM AI, 2023 Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly encode, integrate, and interpret this data at scale can potentially enable ...
Tao Tu +31 more
semanticscholar +1 more source
Cellpose: a generalist algorithm for cellular segmentation
Nature Methods, 2020 Many biological applications require the segmentation of cell bodies, membranes and nuclei from microscopy images. Deep learning has enabled great progress on this problem, but current methods are specialized for images that have large training datasets.
C. Stringer +3 more
semanticscholar +1 more source
Images Speak in Images: A Generalist Painter for In-Context Visual Learning [PDF]
Computer Vision and Pattern Recognition, 2022 In-context learning, as a new paradigm in NLP, allows the model to rapidly adapt to various tasks with only a handful of prompts and examples. But in computer vision, the difficulties for in-context learning lie in that tasks vary significantly in the ...
Xinlong Wang +4 more
semanticscholar +1 more source
Towards Generalist Foundation Model for Radiology [PDF]
arXiv.org, 2023 In this study, we aim to initiate the development of Radiology Foundation Model, termed as RadFM. We consider the construction of foundational models from three perspectives, namely, dataset construction, model design, and thorough evaluation.
Chaoyi Wu +4 more
semanticscholar +1 more source
Generalist, specialist and generic positions experienced by occupational therapists in Norwegian municipalities [PDF]
Irish Journal of Occupational Therapy, 2020 Purpose – Reforms in the health-care system may impact how health-care professionals perceive and enact their roles. This study aims to examine the way in which occupational therapists experience and describe their roles in municipalities after the ...
Sissel Horghagen +4 more
doaj +1 more source
BMJ, 1994 Stuart Handysides's series of articles on enriching careers in general practice (the sixth and last of which is published today (p 513)) has amassed many facts and useful opinions about the state of general practice today.*RF 1-6* The accelerating pace of change makes the beginning of 1994 a good time to take stock. Handysides correctly identifies the
D, Pereira Gray +3 more
openaire +2 more sources