本文内容主要根据预印本网站arXiv上的论文《When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions》结合自己的理解和GPT简要翻译整理,很多地方并不完全按照原文,有…
Student,FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion TMLR课题组介绍香港浸会大学可信机器学习和推理课题组 (TMLR Group) 由多名青年教授、博士后研究员、博士生、访问博士生和研究助理共同组成,课题组隶属于理学院计算机系。课题组专攻可信表征学习、可信基础模型...
train the model on its proprietary dataand useprompt engineeringto fine-tune the model.Hugging Faceis an open source repository of many LLMs, like a GitHub for AI. It provides tools that enable users to build, train and deploy machine learning models....
Morgan HL (1965) The generation of a unique machine description for chemical structures — a technique developed at chemical abstracts service. J Chem Doc 5:107–113 Kläser, Banaszewski, et al. MiniMol: A Parameter Efficient Fo...
A foundation model is an AI neural network — trained on mountains of raw data, generally withunsupervised learning— that can be adapted to accomplish a broad range of tasks. Two important concepts help define this umbrella category: Data gathering is easier, and opportunities are as wide as ...
其实相关的资料论文非常多,这篇文章提出的foundation model能比较好的做一个归纳,也能够比较好类比推荐领域类似的可能性。随着BERT,GPT-3等模型的出现,在AI这个领域正在发生一个模式的改变(paradigm shift),总体来说概括为两个特性: Homogenization。“The consolidation of methodologies for building machine learning ...
5 Projects You Can Build with Generative AI Models (with examples) - This blog post provides practical project ideas that involve generative AI models, which are a type of Foundation Model. How to Ethically Use Machine Learning to Drive Decisions - This blog post discusses the importance of eth...
Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems. Experience with large-scale training pipelines, including working with large datasets and...
nature machine intelligence | Foundation model for cancer imaging biomarkers,基础模型因其在语言、视觉以及其他几个领域的前所未有的表现而近期变得流行,它们是在大量未标注数据上训练的大型深度学习模型,
Existing machine learning approaches have poor generalizability in bioactivity prediction due to the small number of compounds in each assay and incompatible measurements among assays. In this paper, we propose ActFound, a bioactivity foundation model trained on 1.6 million experimentally measured ...