Explore the potential of random forest models in traffic forecasting and insights for future research aimed at improving urban traffic management systems.
Explore noisy channel language model prompting: few-shot text classification, enhancing stability, handling imbalanced data, and generalizing to unseen labels.
Cyberattacks are becoming increasingly sophisticated. Learn how an identity-first security strategy can tackle the evolving cyber threats in an AI-first-world.
Explore how to harness local language models with Semantic Kernel. Discover the power of running AI on your terms — secure, private, and under your control.
Learn how to navigate technical debt in AI projects, balance rapid adoption with long-term sustainability, and implement best practices for successful AI initiatives.
Explore concepts of AI-driven query processing, key algorithms that enhance search performance, and best practices for optimizing AI-powered retrieval systems.
Explore key strategies for effective data management in AI projects, including real-time access, federated queries, and data literacy for developers and engineers.
Learn about context-specific real-time Generative AI (GenAI) with Retrieval Augmentation Generation (RAG) using Kafka and Flink to prevent hallucinations.
Develop a custom Sketch-to-Image API for converting hand-drawn/digital sketches into photorealistic images using stable diffusion models powered by ControlNet.