Kurse
18757 Kurse
U.S., China, Deterrence and Digital Twins
Explore how AI-generated digital twins could bridge public-private efforts to secure critical U.S. infrastructure against sophisticated Chinese cyber warfare threats.
Watts and Bots - Security and Abundance in the AI Age
Explore how America can expand energy infrastructure to meet AI's growing electricity demands while maintaining cybersecurity and grid resilience against increasing threats.
How to Create McKinsey Style PowerPoint Presentations Easily with AI
Discover how to create professional McKinsey-style PowerPoint presentations using AI tools, focusing on clean design, structured layouts, and powerful visual impact.
Why Observability Matters More with AI Applications
Master observability for AI applications using open-source tools like Prometheus, Grafana, and vLLM to monitor performance, cost, and quality in production environments.
SSR - Path-Factorized Self-Correction for LLMs
Discover how ancient Socratic methods enhance modern LLM reasoning through path-factorized self-correction techniques for improved AI decision-making and problem-solving capabilities.
AI Model Inferencing and Deployment Options
Explore AI model inferencing processes and deployment strategies, covering hardware considerations, software options, and best practices for production environments.
Run Any AI Model Anywhere with Docker Model Runner - Docker's AI Guide to the Galaxy
Explore Docker Model Runner's latest features for running AI models locally with multi-engine support, GPU acceleration, and multimodal capabilities in this 33-minute guide.
Image to 3D Model with AI - Free vs Paid - Which One Actually Delivers?
Compare free Hunyuan3D 2.1 against paid Meshy and Hitem3D services for image-to-3D conversion, testing mesh quality, topology, and when each tool delivers best results.
Marin - Open Development of Open Foundation Models
Discover how the Marin project revolutionizes foundation model development by making training fully transparent, reproducible, and auditable using Ray orchestration on TPUs.
How Ray Data Powers Scalable AI Workloads
Discover how Ray Data enables large-scale AI workloads with GPU-accelerated batch inference, distributed training preparation, and high-performance multimodal data processing.
NVIDIA NeMo Curator - Scaling Multi-Modal Data Curation Workflows
Discover how to architect petabyte-scale multi-modal data pipelines for Generative AI using Ray's distributed computing primitives and GPU acceleration patterns.
AI Self-Improvement Techniques - Training, Evaluation, and Optimization for Real-World Performance
Discover how to train, evaluate, and optimize AI agents using system prompt updates, meta-prompting, and continuous feedback techniques for real-world production performance.