Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Verified AI Systems for Technical Reasoning: Evidence, Retrieval, Uncertainty, and Evaluation for Reference-Aware Assistants

Verified AI Systems for Technical Reasoning: Evidence, Retrieval, Uncertainty, and Evaluation for Reference-Aware Assistants

Unpingco, José

Hardcover

Technology & EngineeringGeneral ComputersProbability & Statistics

PREORDER - Expected ship date February 24, 2027

ISBN10: 3032395313
ISBN13: 9783032395313
Publisher: Springer
Published: Feb 24 2027
Pages: 203
Language: English

This book provides a practical and rigorous guide to building AI systems whose technical answers can be inspected, checked, and improved. It explains why fluent language generation and retrieval-augmented generation are not enough by themselves and then develops the evidence pipeline needed for trustworthy technical reasoning. Readers learn to treat an AI assistant as a reference-aware system rather than as a model alone. Each chapter turns reliability into concrete questions: What was retrieved? Which claim does each citation support? What assumptions were used? What can be recomputed or tested? What remains uncertain? When should the system abstain? The book is intended for machine learning engineers, data scientists, software engineers, applied researchers, technical managers, and advanced students who need to design or evaluate AI assistants for high-value technical work.

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