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020 _a9789365891041
040 _cAKCL
082 _a006.35
_bPAT-M
100 _aPathan, Hunidkhan
100 _aNayankumar Gajjar
245 _aMastering LLM Applications with LangChain and Hugging Face: Practical Insights into LLM Deployment and Use Cases /
_cby Hunaidkhan Pathan and Nayankumar Gajjar
260 _aNew Delhi:
_bBPB Publications,
_c2026
300 _ap.356
505 _a1. Introduction to Python and Code Editors 2. Installation of Python, Required Packages, and Code Editors 3. Ways to Run Python Scripts 4. Introduction to NLP and its Concepts 5. Introduction to Large Language Models 6. Introduction of LangChain, Usage and Importance 7. Introduction of Hugging Face, its Usage and Importance 8. Creating Chatbots Using Custom Data with LangChain and Hugging Face Hub 9. Hyperparameter Tuning and Fine Tuning Pre-Trained Models 10. Integrating LLMs into Real-World Applications–Case Studies 11. Deploying LLMs in Cloud Environments for Scalability 12. Future Directions: Advances in LLMs and Beyond Appendix A: Useful Tips for Efficient LLM Experimentation Appendix B: Resources and References
650 _aComputer science
650 _aSpecial computer methods (AI, barcoding, VR, web design, social media) 
650 _aArtificial Intelligence 
650 _aAI
650 _aNatural Language Processing
942 _cBK
942 _2ddc
942 _2ddc
942 _2ddc
942 _2ddc
_n0
999 _c44972
_d44972