| 000 | 01642nam a22003017a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20260817103532.0 | ||
| 008 | 260714b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9789365891041 | ||
| 040 | _cAKCL | ||
| 082 |
_a006.35 _bPAT-M |
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| 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 |
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| 999 |
_c44972 _d44972 |
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