Architecting Enterprise AI Applications

Architecting Enterprise AI Applications

A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions

Ahmed, Ahmed Mohamed Ceifelnasr; Cagle, Anton

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

12/2024

270

Mole

9798868809019

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Part 1: Defining Your AI Application.- Chapter 1: Human Flexibility and AI Specialization.- Chapter 2: Meta Systems.- Chapter 3: Prediction Machines.- Part 2: Designing Your AI Application.- Chapter 4: Anatomy of an AI Application.- Chapter 5: Data, Machine Learning, and Reasoners.- Chapter 6: Large Language Models (LLMs).- Chapter 7: AI Agents.- Part 3: Maintaining Your AI Application.- Chapter 8: Testing Your Enterprise AI Application.- Chapter 9: Testing automation for enterprise ai applications.- Chapter 10: Security.- Chapter 11: Information Curation.- Part 4: AI Enabled Teams.- Chapter 12: Remote Work and Reskilling.- Chapter 13: Expert Personas.- Chapter 14: The Role of the AI Handler.- Chapter 15: Legal and Ethical Considerations.

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Artificial Intelligence;Large Language Models;Machine Learning;ChatGPT;AWS Bedrock; AI Architecture;Foundational Models;AI Observability;AI Safety