MLOps with Dataiku - Considerations for Model Deployment and Monitoring
Explore key MLOps concepts, deployment readiness, and model monitoring strategies. Learn how Dataiku streamlines MLOps processes for efficient AI industrialization.
Accelerating Deployment of AI with MLOps Orchestration
Explore MLOps orchestration to simplify AI deployment using Kubernetes and open-source tools. Learn to build efficient ML pipelines, from data preparation to model monitoring, accelerating business value across various use cases.
Deploying and Managing Machine Learning Models at Scale - A Hands-On Workshop
Deploy and manage ML models at scale. Hands-on workshop covers creation, deployment, monitoring, and management using real-life scenarios. Gain practical experience with Seldon Deploy, explainers, and outlier detection.
MLOps Beyond Training - Simplifying and Automating the Operational Pipeline
Explore a production-first approach to MLOps, automating operational pipelines for measurable ROI. Learn to design continuous workflows, integrate components, and simplify the transition from research to scalable production.
Understanding Foundation Models: A New Paradigm for Building and Productizing AI Systems
Explore foundation models as a new AI paradigm. Learn practical ways to leverage these models in building and productizing AI systems for your company.
Hands-on Workshop: Create Machine Learning Retraining Pipelines
Develop ML retraining pipelines using Kubernetes and Kubeflow. Master advanced techniques for efficient model updates and deployment in production environments.
WarpDrive: Orders of Magnitude Faster Multi-Agent Deep Reinforcement Learning on a GPU
Accelerate multi-agent deep reinforcement learning with WarpDrive, an open-source framework enabling end-to-end GPU execution. Explore features like automatic GPU tuning and distributed training for improved efficiency and scalability.
Eliminating AI Risk: Building an AI Firewall to Prevent Model Failures
Explore root causes of AI model failures and learn a rigorous framework for eliminating AI risk, including building an AI firewall to prevent model errors.
AI in Robotics, Manufacturing, and Media - How Good Practices Can Shape the Future
Explore AI's impact on robotics, manufacturing, and media. Learn how to maximize benefits, address challenges, and shape a sustainable future through good practices and ethical considerations.
What Engineers Don't Get About Working with Data Scientists
Explore challenges and solutions in engineer-data scientist collaborations for operational ML. Gain insights on effective teamwork, process integration, and overcoming common hurdles in MLOps.
Transformative Power of Machine Learning in the Real World
Explore the transformative impact of machine learning across industries, focusing on real-world applications and their potential to revolutionize healthcare and beyond.
What Every Product Manager Delivering AI Solutions Should Know
Explore key insights for product managers in AI/ML, focusing on user adoption, team communication, and impactful solution development. Learn from industry experts' experiences and best practices.
It's All About the Data - Continuously Improve ML Models the Data-Centric Way
Explore data-centric AI practices to enhance ML model performance. Debug input data, analyze datasets, and identify post-deployment issues using open-source whylogs for continuous improvement.
Reading Alan Turing - Exploring Turing's Influential Ideas in Theoretical Computer Science
Explore Turing's influential papers and their impact on theoretical computer science with Avi Wigderson. Gain insights into Turing's visionary ideas and their modern relevance.
The World Is Worth How Many APIs? A Thought Experiment
Explore a thought experiment on the number of APIs needed for versatile AI agents in physical environments, using wikiHow tutorials to induce and analyze a rich action space.
Using Multiple LLMs in Java with Spring AI
Integrate multiple LLMs in Java using Spring AI. Learn to configure and utilize OpenAI's GPT-4 and Anthropic's Claude 3.5 Sonnet in a single Spring Boot project.
Data and AI World Tour 2024 Bangkok - Deep Dive on Data Management, AI, and Industry Applications
Explore cutting-edge data and AI technologies, real-world applications, and industry insights from global experts. Gain knowledge on generative AI, data governance, and optimizing data intelligence for enterprise success.
Large Language Models and Future of Information Retrieval: Opportunities and Challenges - Lecture 1
Explore the impact of large language models on information retrieval, discussing future opportunities and challenges in search technology.
Towards Human-centered Proactive Conversational Agents - Conversational IR and Recommendation
Explore human-centered proactive conversational agents in IR and recommendation systems, focusing on advancements and challenges in creating more intuitive AI interactions.
Search Engine for Machines: Unified Ranking for Multi-Retrieval-Augmented LLMs - Lecture 1
Explore unified ranking for multi-retrieval-augmented LLMs, advancing search engines for machines and enhancing Retrieval Augmented Generation techniques.
LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search - Session M3.2
Explore LLM-augmented dialogue construction for personalized multi-session conversational search, enhancing IR and recommendation systems.