Toronto Machine Learning Society (TMLS)

And we are off. The 8th Annual Toronto Machine Learning Summit has officially kicked off. Thanks to everyone who joined us at the social with Human Feedback Foundation / AI Tinkerers Toronto and Women in AI & Robotics. Join us for the virtual talk and workshops tomorrow here: https://lnkd.in/djA_Ths3

Session Announcement! 🌟 We're thrilled to introduce Annie Lee, Assistant Professor at Ontario Tech University and University of Toronto, who will be presenting on the innovative ProxyLM framework at our upcoming event! Performance prediction is crucial for estimating the effectiveness of Language Models (LMs) on various NLP tasks, helping to manage the computational costs associated with model capacity and data for fine-tuning. En-Shiun Annie Lee's groundbreaking paper introduces ProxyLM, a scalable framework that leverages proxy models as surrogates to predict LM performance on multilingual tasks. Key Takeaways: - Efficiency: Learn how ProxyLM can achieve up to a 37.08× speedup in task evaluations compared to traditional methods. - Adaptability: Discover how ProxyLM outperforms the state-of-the-art by 1.89× in RMSE for previously unseen languages in pre-trained LMs. - Cost-Effectiveness: Understand the benefits of using smaller, cheaper-to-fine-tune models to gauge the performance of larger, more expensive LMs. - Model Selection: Explore how this framework streamlines model selection, enabling efficient deployment and iterative enhancements without extensive computational resources. En-Shiun Annie Lee is an Assistant Professor at OntarioTech University and the University of Toronto (status-only). She leads the Lee Language Lab (L^3), focusing on language diversity and multilinguality. Her work has been published in prestigious journals like Nature Digital Medicine and ACM Computing Surveys. 📅 Register now to gain insights into the cutting-edge ProxyLM framework: https://lnkd.in/g6EEsEc

Join Margaret Wu, Lead Investor at Georgian! Get the latest insights on the Gen AI market and investment landscape in her talk: "GenAI Investing in 2024." 🌐💡 What You'll Learn: - Market Overview: An updated overview of the Gen AI landscape and investment activity. - Investor Insights: Gain valuable tips and insights for fundraising in the Gen AI sector. Why Attend? - Stay Updated: Understand the current Gen AI market trends and investment activities. - Expert Advice: Learn from an experienced investor on how to effectively raise funds in the Gen AI space. - Network Opportunity: Connect with industry leaders and fellow professionals in the AI investment landscape. 📅 Don't miss this chance! Secure your spot now:  https://lnkd.in/g6EEsEc Join Margo Wu for a deep dive into the future of Gen AI investing! 🚀💼

🚀 Unlock GenAI Breakthroughs with Knowledge Graphs! Are you ready to elevate your AI capabilities? Join Yizhi Yin, PhD, Senior Solutions Engineer at Neo4j, for an immersive workshop on "Enabling GenAI Breakthroughs with Knowledge Graphs." Discover the power of integrating Large Language Models (LLMs) with knowledge graphs using Neo4j and the Retrieval Augmented Generation (RAG) approach. 🌟 Why Attend? RAG is the industry standard to overcome LLM limitations like reliance on generic data and lack of enterprise-specific information. Neo4j's dynamic and interconnected data structure makes it ideal for providing accurate and contextually rich responses. 🎓 What You'll Learn: -Intro to Knowledge Graphs: Master the basics and explore with Cypher. -Vector Search Implementation: Learn how to implement vector search with Neo4j. -Graph Pattern Analysis: Analyze vector search results with graph patterns. -Graph Data Science: Enhance search results using advanced graph data science methods. -GenAI Development: Step-by-step guide to developing GenAI applications, plus interactive Q&A. 🔧 Hands-On Session: Build a personal messenger application for personalized product recommendations using RAG patterns. 🧠 Yizhi Yin, PhD, is a Senior Solutions Engineer at Neo4j, specializing in graph database and analytics. With extensive expertise in leveraging knowledge graphs for sophisticated AI applications, Yizhi will provide practical insights to help you create intelligent GenAI solutions tailored to your enterprise needs. 👉 Don’t miss this opportunity! Register now: https://lnkd.in/g6EEsEc

🚀 Excited to present Debadyuti Roy Chowdhury's session from InfinyOn on "Why Real-Time Event Streaming Pattern is Indispensable for an AI-Native Future"! Join Debadyuti Roy Chowdhury, VP Products at InfinyOn, as he explores the critical role of event streaming in enabling AI-powered applications. Discover how distributed event streaming forms the backbone of real-time analytics, insights, and intelligence, essential for maintaining data quality and reliability in modern AI ecosystems. What You'll Learn: - Event-Driven Architecture: Understand key architecture patterns used in IoT, B2B SaaS, eCommerce, and FinTech. - Benefits for AI: Explore tangible benefits of event-driven architecture for AI in production, including operational cost savings, reduced infrastructure overhead, and increased developer productivity. - Use Cases and Applications: Real-world applications and scenarios where event streaming enhances AI capabilities. Debadyuti Roy Chowdhury leads product management at InfinyOn, specializing in distributed streaming infrastructure. With a career spanning IT, software engineering, data science, and AI practices across diverse industries, Deb brings a wealth of experience in leveraging cutting-edge technologies for transformative solutions. 📅 Register now to gain insights into the future of AI with real-time event streaming: https://lnkd.in/g6EEsEc

🚀 Join Dr. Reem Al-Halimi, AI Enterprise Architect at Navblue, An Airbus Company! Discover the untapped potential of data in the aviation industry in her talk: "Unlocking the Potential of Data in the Aviation Industry." 🌐✈️ What You'll Learn: - Understand Data Flows: Visualize the vast data produced within the aviation ecosystem. - Value and Challenges: Learn the immense value this data can bring and the industry challenges in utilizing it. - Modern Data Infrastructures: Gain insights into working with data in a mature industry transitioning to modern data infrastructures. 👨💻 About the Speaker: Dr. Reem Al-Halimi is a leading AI Enterprise Architect at NAVBLUE, An Airbus Company. With a Ph.D. in Computer Science from the University of Waterloo, she has led numerous machine learning projects across various domains, including generative AI, computer vision, NLP, anomaly detection, and predictive models. She is dedicated to transforming flight operations products into smart solutions, enhancing efficiency and decision-making. Why Attend? - Understand how to harness aviation data for sustainability and operational improvements. - Learn from a seasoned AI professional with extensive experience in the aviation sector. -Prepare to navigate the shift towards modern data infrastructures in a mature industry. 📅 Don't miss this opportunity! Secure your spot now: https://lnkd.in/g6EEsEc

🚀 Get Hands-On with Generative Text and Fine-Tuning LLMs! Join Myles Harrison, Consultant and Trainer at NLP from scratch, for an introductory workshop on "Getting started with Generative Text and Fine-tuning LLMs in Hugging Face." Whether you're new to LLMs or looking to enhance your skills, this session is the perfect starting point! 👨💻 What You’ll Learn: - LLMs and Transformers: Understand the basics of large language models and their architecture. - Hugging Face Introduction: Learn to use the transformers library for generating text. - Fine-Tuning: Discover the motivation and methods for fine-tuning LLMs. - Hands-On Practice: Apply fine-tuning techniques to generative text models using Hugging Face. - Efficient Techniques: Explore performance efficient fine-tuning (PEFT) and model quantization for consumer hardware. Myles is a seasoned NLP consultant and trainer, specializing in helping individuals and organizations get started with LLMs and NLP from scratch. 👉 Don’t miss out on this opportunity to kickstart your journey with LLMs! Register now: https://lnkd.in/g6EEsEc

🌟 We're excited to announce Susan Shu Chang's session from Elasticsearch Consulting Expert on "Growing Your ML Career via Technical Writing and Speaking: Tips and Lessons"! Join Susan Chang, Principal Data Scientist at Elasticsearch, as she shares her journey from writing about technical topics to becoming a keynote speaker and author. Learn practical tips on leveraging technical writing and speaking to accelerate your career growth in the ML industry. What You'll Learn: - Starting Your Journey: Tips for getting started with technical writing and speaking. - Career Growth Opportunities: How to leverage writing and speaking for career advancement. - Building an Audience: Strategies for establishing and growing your audience. - Keynoting at Conferences: Insights into becoming a conference speaker. - Book Writing: Steps to securing a book deal and publishing process. Speaker Bio: Susan Shu Chang is a Principal Data Scientist at Elasticsearch, specializing in machine learning at scale across fintech, social, and telecom industries. She is the author of "Machine Learning Interviews" published by O'Reilly 📅 Don't miss out on this insightful session! Register Here and learn how to propel your ML career with technical writing and speaking https://lnkd.in/g6EEsEc

🌟 Excited to announce Arthur V., Senior Data Scientist Specialist Solutions Architect at Red Hat Canada! Join us for his session on "Deploying LLMs on Kubernetes Environments," where Arthur will guide you through leveraging Kubernetes, including Red Hat OpenShift, to deploy Large Language Models (LLMs). Discover how LLMs can revolutionize your applications, from enhancing chatbots for documentation to optimizing anomaly detection in operations management. 🔍 Session Highlights: - Configure Kubernetes environments for LLM deployment in hybrid setups. - Implement RAG-based systems to interact intelligently with documentation. - Enhance operations with LLMs for proactive traffic anomaly detection. 📌 Why Attend? Attendees will gain practical insights into deploying cutting-edge LLMs on Kubernetes, essential for: - Improving Efficiency: Learn to streamline operations and boost productivity with intelligent LLM-driven applications. - Innovative Solutions: Explore how LLMs can transform documentation interactions and anomaly detection in real-time. - Future Readiness: Prepare your organization for the future of AI-driven technologies in hybrid cloud environments. 📅 Don't miss out! https://lnkd.in/g6EEsEc