Hybrid Intelligence Engineering: Combining Small & Large Language Models to Build Secure, Scalable and Affordable AI Solutions for Cloud and Edge

By Reid Orian

Hybrid Intelligence Engineering: Combining Small and Large Language Models to Build Secure, Scalable, and Affordable AI Solutions for Cloud and Edge
- crafted for maximum engagement and visibility in the AI and technology categories:

Build the future of AI-where small and large language models work together seamlessly across the cloud and edge.

Hybrid Intelligence Engineering is your complete guide to creating next-generation AI systems that are faster, smarter, and more affordable. Learn how to combine lightweight edge models for instant local processing with powerful cloud-based LLMs for deep reasoning and decision-making.

Through text-based flowcharts, tables, and hands-on projects, this book shows you exactly how to design, deploy, and optimize hybrid AI workflows that balance speed, security, and cost. From architecture blueprints to real-world case studies, you'll gain practical skills to engineer scalable and responsible AI solutions for any environment.

You'll Learn How To:

- Orchestrate small and large LLMs for hybrid performance

- Secure distributed inference pipelines

- Optimize latency, throughput, and cost

- Deploy AI efficiently on both cloud and edge

- Build hands-on projects using Python and FastAPI

Perfect For:
AI engineers, data scientists, developers, and innovators ready to master hybrid AI architectures and shape the next wave of intelligent systems.

• Format: Paperback
• Language: English
• ISBN: B0FWWXDPBL
• ISBN13: 9798270385545
• Release Date: October 2025
• Publisher: Independently Published
• Length: 164 Pages
• Weight: 0.87 lbs.
• Dimensions: 0.3" x 8.5" x 11.0"