Toronto Machine Learning Series (TMLS) Courses

Machine Unlearning - Addressing Bias, Privacy, and Regulation in LLMs and Multimodal Models

Explore techniques for machine unlearning in AI models, focusing on bias removal, data privacy, and regulatory compliance while maintaining model performance and fostering responsible AI development.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Deploying Large Language Models on Kubernetes Environments for Intelligent Applications

Master the deployment of Large Language Models on Kubernetes, enabling intelligent applications with chatbots for documentation interaction and operational tasks like anomaly detection.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Generative AI in Financial Services - Transforming Products and Innovation

Explore how Generative AI is revolutionizing financial services, from emerging use cases to enterprise adoption challenges and future innovations in banking and finance.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Generative AI Design Patterns - Five Key Patterns for Enhanced AI Systems

Explore five essential generative AI design patterns - RAG, Cluster Pulse, State Based Agents, Guard Rails, and Auto-Prompting - through their practical application in developing a personalized K-8 tutoring system.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

The Dual Nature of Consistency in Foundation Models - Challenges and Opportunities

Explore the complexities of consistency in Large Language Models, including measurement methods, mitigation strategies, and leveraging opportunities for improved model reliability.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Generative AI in Banking - Lessons Learned from Implementation

Discover real-world insights into implementing Generative AI in banking through Scotiabank's journey, exploring practical applications, challenges, and industry-wide lessons from production use cases.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

AI as an Engineering Discipline - Best Practices and Guidelines for Modern Development

Explore the evolution of AI from theoretical concepts to practical engineering, learning best practices and guidelines for effective implementation in modern machine learning projects.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

ProxyLM - Predicting Language Model Performance on Multilingual Tasks via Proxy Models

Discover how ProxyLM framework uses proxy models to predict language model performance in multilingual NLP tasks, offering significant computational efficiency and improved accuracy for model selection.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

Dynamic Huff's Gravity Model with Covariates for Site Visitation Prediction

Discover how enhanced Huff's Gravity Model incorporates mobility and behavioral data to accurately predict consumer location visits, with practical applications for retail and urban planning.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Compute Strategies for Generative AI - Resource Optimization and ML Platform Development

Discover strategic approaches to distribute computing resources for large-scale AI models, focusing on optimization techniques and efficient resource management in production environments.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

How Generative AI is Reshaping Business: Applications, Efficiency, and Innovation

Discover how Generative AI transforms industries through real-world applications, enhancing efficiency and innovation while revolutionizing traditional business approaches and problem-solving methods.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Building Customer Trust in the Generative AI Era

Explore ethical challenges and practical strategies for building trust in generative AI, focusing on privacy, bias, and compliance in the evolving technological landscape.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

Your First ML Model in Production: Examples and Considerations

Explore strategies for impactful ML projects, from identifying business objectives to deploying models in production. Learn real-time scoring, API integration, and lifecycle management.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

TMLS2019 - Machine Learning Insights

Explore advanced techniques for optimizing machine learning models and improving their performance in real-world applications.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

TMLS2019

Explore machine learning applications in personalized recommendations at Netflix, focusing on innovative techniques and challenges in content discovery.

• YouTube
• 31 minutes
• Self-Paced
• Free Video