ISBN: 9798248831609 - multi-channel agent architecture: implementing github, slack, and api integrations using local language models with privacy-oriented design for professional developers: 2 (5 risultati)

Paperback. Condizione: new. Paperback. This book examines the design and implementation of multi-channel AI agents that operate across GitHub, Slack, and custom APIs, with an emphasis on local inference using open-source language models. It addresses key engineering challenges in building secure, privacy-focused systems that minimize external data exposure and maintain control over sensitive information. Readers will find detailed coverage of architectural patterns, integration mechanisms, protocol considerations, and deployment strategies suited to production environments. The content assumes familiarity with software engineering principles, API development, and machine learning concepts, targeting experienced developers, DevOps professionals, and AI systems architects who seek to construct self-hosted, privacy-respecting agent solutions.Acquire this resource to reference practical approaches and technical considerations for your next agent implementation project. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. This book examines the design and implementation of multi-channel AI agents that operate across GitHub, Slack, and custom APIs, with an emphasis on local inference using open-source language models. It addresses key engineering challenges in building secure, privacy-focused systems that minimize external data exposure and maintain control over sensitive information. Readers will find detailed coverage of architectural patterns, integration mechanisms, protocol considerations, and deployment strategies suited to production environments. The content assumes familiarity with software engineering principles, API development, and machine learning concepts, targeting experienced developers, DevOps professionals, and AI systems architects who seek to construct self-hosted, privacy-respecting agent solutions.Acquire this resource to reference practical approaches and technical considerations for your next agent implementation project. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …