Quick answer
AI Summary: An enterprise architecture playbook detailing the lifecycle, data pipelines, governance, and security required to scale LLM solutions reliably across large organizations.
AI Summary: An enterprise architecture playbook detailing the lifecycle, data pipelines, governance, and security required to scale LLM solutions reliably across large organizations.
Integrating generative AI breakthroughs into large-scale, production-grade enterprise applications presents significant architectural challenges. This enterprise-focused book takes a pragmatic approach to deploying LLMs, emphasizing big data engineering, data cataloging, and robust AI governance. It guides enterprise architects and senior developers through the complete generative AI application lifecycle, demonstrating how to align large language models with broader organizational goals while ensuring strict data security and compliance.
Share your opinion to help other learners triage faster.
Write a reviewInvite someone by email to share an invited review for Scaling Enterprise Solutions with Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions.