Table of Contents
1. The Basics of Large Language Models and Their Applications
2. Demystifying OpenSource Large Language Models
3. ClosedSource Large Language Models
4. LLM APIs for Various Large Language Model Tasks
5. Integrating Cohere API in Google Sheets
6. Dynamic Movie Recommendation Engine Using LLMs
7. Documentand Webbased QA Bots with Large Language Models
8. LLM Quantization Techniques and Implementation
9. Finetuning and Evaluation of LLMs
10. Recipes for FineTuning and Evaluating LLMs
11. LLMOps Operationalizing LLMs at Scale
12. Implementing LLMOps in Practice Using MLflow on Databricks
13. Mastering the Art of Prompt Engineering
14. Prompt Engineering Essentials and Design Patterns
15. Ethical Considerations and Regulatory Frameworks for LLMs
16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning)
Index
2. Demystifying OpenSource Large Language Models
3. ClosedSource Large Language Models
4. LLM APIs for Various Large Language Model Tasks
5. Integrating Cohere API in Google Sheets
6. Dynamic Movie Recommendation Engine Using LLMs
7. Documentand Webbased QA Bots with Large Language Models
8. LLM Quantization Techniques and Implementation
9. Finetuning and Evaluation of LLMs
10. Recipes for FineTuning and Evaluating LLMs
11. LLMOps Operationalizing LLMs at Scale
12. Implementing LLMOps in Practice Using MLflow on Databricks
13. Mastering the Art of Prompt Engineering
14. Prompt Engineering Essentials and Design Patterns
15. Ethical Considerations and Regulatory Frameworks for LLMs
16. Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning)
Index