Orchestrating AI

• Titel: Orchestrating AI
• Mitwirkende: Gift, Noah [PräsentatorIn]
• Institutionen: Pragmatic AI Labs (Firm), [Verlag]
• Verf.angabe: Noah Gift
• Ausgabe: [First edition].
• Verlagsort: [Place of publication not identified]
• Verlag: Pragmatic AI Labs
• Jahr: 2024
• Umfang: 1 online resource (1 video file (1 hr., 47 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed November 25, 2024)
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• K10plus-PPN: 1910463388
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m462950964X
• Lokale URL Inst.: Zum Volltext

Abstract

Course Overview This comprehensive course covers AI orchestration, from local development to cloud deployment, with a focus on Rust, MLOps, and efficient AI system design. Learn practical approaches to building and deploying AI systems using modern tools and best practices. Module 1: Course Foundations Introduction to AI Orchestration Course Overview AI Orchestration Fundamentals Module 2: Advanced Prompt Engineering Understanding the Prompt Engineering Pyramid Chain of Thought Prompting with Rust Practical Demonstrations and Implementation Module 3: AI System Architecture Local vs Cloud Model Deployment Caching Strategies for AI Systems RAG Optimization Techniques Module 4: Tools and Implementation LlamaFile and Local Model Deployment Ollama Integration and Architecture AWS Spot Instance Deployment GPU Monitoring and Optimization HuggingFace Workflow Integration GitHub AI Model Management Technical Training and Best Practices Course Conclusion Final Overview and Next Steps AI Engineering Best Practices.