Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs)
Autor Anand Nayyar, Ajantha Devi Vairamani, Kuldeep Kaswanen Limba Engleză Paperback – 7 aug 2025
- Addresses ethical concerns and provides strategies for mitigating bias and ensuring responsible AI practices
- Covers foundational concepts, advanced techniques, and the broader landscape of LLMs, equipping readers with a well-rounded understanding
- Serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization
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Specificații
ISBN-13: 9780443339042
ISBN-10: 044333904X
Pagini: 364
Dimensiuni: 191 x 235 mm
Greutate: 0.77 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 044333904X
Pagini: 364
Dimensiuni: 191 x 235 mm
Greutate: 0.77 kg
Editura: ELSEVIER SCIENCE
Cuprins
1. Basic Insights into Large Language Models
2. Foundations of LLM-based Prompt Engineering
3. Familiarity with Prompt Design
4. Pre-processing and Tokenization in Prompt Engineering
5. State-of-the-Art Techniques in Prompt Engineering
6. Diverse Prompt Engineering Models and their Implementations
7. Evaluation and Refinement of Prompt Engineering
8. Prompt Engineering: Ethical Considerations and Challenges
9. Case Studies in Prompt Engineering
10. Future Trends in Large Language Models and Prompt Engineering cum Concluding Remarks
2. Foundations of LLM-based Prompt Engineering
3. Familiarity with Prompt Design
4. Pre-processing and Tokenization in Prompt Engineering
5. State-of-the-Art Techniques in Prompt Engineering
6. Diverse Prompt Engineering Models and their Implementations
7. Evaluation and Refinement of Prompt Engineering
8. Prompt Engineering: Ethical Considerations and Challenges
9. Case Studies in Prompt Engineering
10. Future Trends in Large Language Models and Prompt Engineering cum Concluding Remarks