Pathan, Hunidkhan  Nayankumar Gajjar <br/><br/>
Mastering LLM Applications with LangChain and Hugging Face: Practical Insights into LLM Deployment and Use Cases /  
by Hunaidkhan Pathan and Nayankumar Gajjar 
 - New Delhi:  BPB Publications,  2026 
 - p.356 
<br/><br/>1. Introduction to Python and Code Editors<br/>2. Installation of Python, Required Packages, and Code Editors<br/>3. Ways to Run Python Scripts<br/>4. Introduction to NLP and its Concepts<br/>5. Introduction to Large Language Models<br/>6. Introduction of LangChain, Usage and Importance<br/>7. Introduction of Hugging Face, its Usage and Importance<br/>8. Creating Chatbots Using Custom Data with LangChain and Hugging Face Hub<br/>9. Hyperparameter Tuning and Fine Tuning Pre-Trained Models<br/>10. Integrating LLMs into Real-World Applications–Case Studies<br/>11. Deploying LLMs in Cloud Environments for Scalability<br/>12. Future Directions: Advances in LLMs and Beyond<br/>Appendix A: Useful Tips for Efficient LLM Experimentation<br/>Appendix B: Resources and References 
<br/><br/><label>ISBN: </label>9789365891041 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science<br/>Special computer methods (AI, barcoding, VR, web design, social media) <br/>Artificial Intelligence <br/>AI<br/>Natural Language Processing
<br/><br/><label>Dewey Class. No.: </label>006.35  / PAT-M