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Toronto Machine Learning Series (TMLS) @UCj4ykupvcxeiauQvbDcpqHQ@youtube.com

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01:18:41
From Chaos to Control Mastering ML Reproducibility at scale
30:45
AI for AI Scotiabank's Award Winning ML Models
01:04:16
Modular Solutions for Knowledge Management at scale in RAG Systems
40:03
Fuel iX: An enterprise grade Gen AI platform
41:25
Agentic AI: Unlocking Emergent Behavior in LLMs for Adaptive Workflow Automation
59:31
AI Agents with Function Calling:Tool Use
01:21:33
Optimizing Large Language Model Selection for Efficient GenAI Development
01:26:38
The Gap From Prototype to Production
35:17
Generative AI Design Patterns
30:06
Exploring the Frontier of Graph Neural Networks Key Concepts, Architectures, and Trends
01:30:50
Getting Started With Generative Text And Fine Tuning LLMS In Hugging Face
35:34
How GenAI is Being Used for Productivity at Wealthsimple
01:29:22
Kùzu A fast, scalable graph database for analytical workloads
31:11
Arcane, an Internal RAG System to Pinpoint Investment Policies
31:28
Ask the Graph: How Knowledge Graphs Helps Generative AI Models Answer Questions
42:18
Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness
24:06
FL4Health Private and Personal Clinical Modeling
29:37
Making RAG Retrieval Augmented Generation Work
28:21
Industrializing ML Workflows in Drug Discovery
02:31:30
LLMs for Leaders & Senior Product Managers
32:03
GenAI Investing in 2024
32:58
AI ready Data Infrastructure for Real time Sensor Data Analytics on the Edge
31:03
Building Reproducible ML Processes with an Open Source Stack
01:37:17
A Practitioner’s Guide to Safeguarding Your LLM Applications
30:30
Optimizing Recommendations on Wattpad Home
37:10
Connecting the Dots Between AI Ethics and Sustainability
05:28:14
Building an Open Source Agentic RAG Application with Llama
30:12
Deploying LLMs on Kubernetes environments
01:11:24
Scaling Vector Database Usage Without Breaking the Bank Quantization and Adaptive Retrieval
01:29:44
Leveraging Large Language Models to build Enterprise AI
30:03
AI for Hospitals at Scale
01:23:45
Uncertainty Quantification with Conformal Prediction: A Path to Reliable ML Models
32:54
AI as an Engineering Discipline
01:10:48
Enabling GenAI Breakthroughs With Knowledge Graphs
39:21
Navigating LLM Deployment Tips, Tricks and Techniques
30:05
Why real time event streaming pattern is indispensable for an AI native future
43:08
Panel RAGs in Production: Delivering Impact Safely and Efficiently
35:22
Machine Unlearning: Addressing Bias, Privacy, and Regulation in LLMs and Multimodal Models
36:35
Privacy Risks and Protections in Machine Learning Systems
36:00
Rapid Deployment of LLMs into Production: Strategies and Insights
33:59
Gen AI in Banking: Lessons Learned
30:04
Web Extraction With LLMs
27:22
Unlocking the Potential of Data in the Aviation Industry
28:47
Torch func: Functional Transforms in PyTorch
32:22
Unraveling Long Context: Existing Methods, Challenges, and Future Directions
29:28
Upskilling Your Full Stack Development Team in Machine Learning
35:57
The Dual Nature of Consistency in Foundation Models: Challenges and Opportunities
28:44
Building and Evaluating Prompts on Production Grade Datasets
24:00
GenAI: A New Renaissance in Product Development
31:26
Optimizing Personalized User Experience: In session Recommendations Across E-commerce Verticals
31:12
Revolutionizing Fraud Prevention Harnessing AI and ML to Safeguard Banking from Fraud
26:36
AI Governance: Accelerate Responsible, Transparent, and Explainable AI Workflows
18:24
Building Customer Trust in the Generative AI Era
32:06
LLMs for Revolutionizing Credit Risk Assessment
30:40
Growing your ML career via technical writing and speaking Tips and lessons
35:53
Generative AI for Financial Services
31:23
Transitioning from LLMs to Autonomous Agents in Programming and Software Engineering
18:38
How Is GenAI Reshaping the Business
29:00
Deploying and Evaluating RAG pipelines with Lightning Studios
31:22
Extending PyTorch for Custom Compiler Targets