Table of Contents:
  • Preface
  • Chapter 1. Diving Deep Into the World of LLMs
  • Chapter 2. Building With LLMs: Strategies for Real-World Business Implementation
  • Chapter 3. Retrieval-Augmented Generation (RAG) for Enterprise Intelligence: Architectures, Applications, and Future Trends
  • Chapter 4. Fine-Tuning Large Language Models for Domain-Specific Business Applications
  • Chapter 5. Intelligent Enterprises- Harnessing Large Language Models for Forecasting, Decision-Making, and Strategic Automation
  • Chapter 6. Economic Implications of Artificial Intelligence Adoption in Business Processes
  • Chapter 7. Enhancing Fraud Detection and Financial Forecasting: The Role of LLMs in Healthcare and Finance
  • Chapter 8. LLMs in ERP: Enhancing Financial Reporting
  • Chapter 9. Large Language Models (LLM) and Islamic Finance: Enhancing Transparency, Risk Management, and Customer Experience
  • Chapter 10. GenAI for Sales Enablement in Direct Selling: Automating Personalized Customer Outreach With LLMs
  • Chapter 11. From Compliance to Consciousness: Ethical Governance of LLMs in Business Applications Practices
  • Chapter 12. Collaboration: Emerging Trends in LLM Technology and Their Implications for Business
  • Chapter 13. Strategic Integration of Large Language Models for Business Transformation: Frameworks, Use Cases, and Ethical Considerations
  • Compilation of References
  • About the Contributors
  • Index.