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Lumina ⚡️
Powering AI innovation and insights at scale
Lumina is RBC’s internal enterprise data and AI platform, purpose-built to drive innovation at scale. Designed for use by engineers, data scientists, and business analysts, it is a key enabler in the development of leading-edge AI models while ensuring the safety, responsibility and resilience that are at the core of RBC’s approach to AI.
Blog
Pre-training multi-billion parameter LLMs on a single GPU with Flora
First, we show how to incorporate Flora into code. Second, we give a high-level overview of how Flora works. Third, we provide benchmark training results. Finally, we compare Flora to the subsequent and closely related GaLore method.
Bayesian Machine Learning: Function Space
In this (part V) of this series, we investigate the Bayesian approach from the perspective of function space.
Bayesian Machine Learning: Parameter Space
We investigate Bayesian methods for linear models with a least squares loss. In the Bayesian approach, we no longer aim to find the best set of parameters, but instead compute a probability distribution over possible parameter values and take into account all of these possible values when we make predictions.
Blog
AutoCast++ Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
This blog post is based on our paper accepted to International Conference on Learning Representations (ICLR) 2024. Please refer to the paper AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval for full details.
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ConR: Contrastive Regularizer for Deep Imbalanced Regression
ConR: Contrastive Regularizer for Deep Imbalanced Regression
M. Keramati, L. Meng, and R. David Evans.
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A High-level Overview of Large Language Models
A High-level Overview of Large Language Models
W. Zi, L. El Asri, and S. Prince.
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Top 20 Tutorials for Machine Learning (ML)
Top 20 Tutorials for Machine Learning (ML)
S. Prince.
Learning And Generalization; Natural Language Processing; Reinforcement Learning
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Few-Shot Learning & Meta-Learning | Tutorial
Few-Shot Learning & Meta-Learning | Tutorial
W. Zi, L. S. Ghoraie, and S. Prince.
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RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Y. Gong, G. Mori, and F. Tung. International Conference on Machine Learning (ICML), 2022
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Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
*M. Kiarash, H. Zhao, M. Zhai, and F. Tung. The IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
ATOM: Transforming client interactions into personalized solutions
RBC Borealis’ foundation model for financial services. Our researchers aim to build ML models capable of making inferences from asynchronous event sequences. Asynchronous event sequences are ubiquitous in personal banking applications – from various types of transaction data to client interactions with RBC banking services. ATOM is trained using these datasets, providing it with a breadth of knowledge in financial services.
RESPECT AI™
Responsible AI is key to the future of AI technology, science, development, and adoption. Our RESPECT AI platform contributes knowledge, algorithms, programs, and tooling to help build technology that moves society forward.
ML Research Internships
At RBC Borealis, we are committed to helping advance the next generation of AI experts. Apply your curiosity to a wide variety of theoretical and applied machine learning projects.
Learn moreML Research Internships
At RBC Borealis, we are committed to helping advance the next generation of AI experts. Apply your curiosity to a wide variety of theoretical and applied machine learning projects.
Learn moreCareers
RBC Borealis combines AI research, platform architecture and data engineering to build scalable, resilient solutions for RBC’s clients. Our team impacts millions of lives through scientific advances and brilliant engineering.
Explore open rolesCareers
RBC Borealis combines AI research, platform architecture and data engineering to build scalable, resilient solutions for RBC’s clients. Our team impacts millions of lives through scientific advances and brilliant engineering.
Explore open roles