
Learn to implement, scale, and manage GenAI applications using Databricks, MosaicAI, and MLRun. Explore MLOps best practices, CI/CD automation, and GPU optimization for enterprise-level AI deployment.

Explore enterprise-grade RAG solutions with Databricks, featuring Unity Catalog integration, security measures, and seamless Microsoft Copilot integration for enhanced data value extraction.

Explore a developer workflow for deploying high-quality AI applications, covering experimentation, feedback, and performance metrics using Databricks tools like Vector Search and MLflow.

Explore Databricks' Generative AI Engineer Associate certification, covering key topics like prompt engineering, RAG, and LLM selection. Learn exam scope, preparation tips, and insights from experts.

Plataforma unificada de datos que optimiza procesos de la FDA, integra IA/ML, y mejora la gestión y gobernanza de datos para agilizar la revisión y aprobación de medicamentos.

Discover the journey of creating Brickbot, an AI assistant for DAIS '24. Learn about design decisions, technical challenges, and insights gained from real-world user interactions in this behind-the-scenes discussion.

Explore the evolving synergy between data science fundamentals and LLMs, learning essential skills for adapting to technological advancements and shaping the future of the field.

Explore AI's potential to revolutionize product management, predicting user needs and enhancing workflows. Learn practical applications of tools like ChatGPT for innovation and efficiency.

Explore hybrid chatbots combining LLMs and classification models for natural, engaging interactions. Learn to accelerate development, optimize resources, and enhance accuracy in customer service and healthcare applications.

Explore Generative AI's impact on marketing with Faye Pasvouri. Learn to create resonant campaigns, streamline efforts, and leverage AI models for optimized content and customer engagement.

Presentation on Temporal Difference Learning for Model Predictive Control, exploring innovative approaches in robotics and AI. Insights into recent papers and project developments by researcher Nicklas Hansen.

Explore Boltzmann Machines, early generative models learning data probability distributions using stochastic rules and latent representations. Understand their goals, distribution, update rules, and evolution to Restricted Boltzmann Machines.

Live coding session demonstrating how to add AI structured output to a Rust library for OpenAI, showcasing adapter pattern design and enhancing GenAI capabilities for more structured AI interactions.

Explore security risks in autonomous driving controllers, including hardware structure, testing methods, and potential vulnerabilities. Learn to extract AI models and control vehicles remotely.

Explore AI's limitations in AppSec, examining real-world examples and a live demo. Learn about the RAG Framework for more reliable AI integration in security applications.

Exploración histórica de la seguridad en IA, desde sus inicios hace 20 años hasta los desafíos actuales. Análisis crítico de las prácticas modernas y orientación para profesionales en el campo.

Explore the complex nature of pain through AI, psychology, and neuroscience perspectives, delving into higher-level intelligence and its implications.

Explore the intersection of consciousness and AI through philosophical and scientific lenses, examining implications for higher-level intelligence and cognitive science.

Explore innovative AI applications for decoding animal communication, uncovering insights into nonhuman species' language and behavior.

Explore the intersection of formal language theory and machine learning, focusing on transformer expressiveness and recent developments in understanding their learning capabilities.

Explore complexity in multi-agent systems with finite-horizon goals, examining mathematical properties, use cases, and representation challenges in game theory and distributed systems analysis.