Ücretsiz kitap
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Okuma erişimi
Ücretsiz kitap
İstemde bulunma, RAG, aracılar, değerlendirme, güvenlik ve maliyet kontrolü de dahil olmak üzere, barındırılan ve açık kaynaklı büyük dil modelleriyle uygulamalar oluşturmaya yönelik üretim odaklı bir kılavuz.
Seviye: intermediateDil: TR TürkçePuan: 0İncelemeler: 0
Kitap
Book contents
01Chapter 1: Introduction to Large Language Models02Chapter 2: Transformer Architecture Explained03Chapter 3: LLM Ecosystem Overview04Chapter 4: Prompt Engineering Fundamentals05Chapter 5: Advanced Prompting Techniques06Chapter 6: Prompt Optimization and Evaluation07Chapter 7: LLM APIs and SDKs08Chapter 8: Application Architectures09Chapter 9: Frontend Integration10Chapter 10: Introduction to RAG11Chapter 11: Embeddings and Vector Databases12Chapter 12: Building a RAG Pipeline13Chapter 13: Advanced RAG Techniques14Chapter 14: Overview of Open Models15Chapter 15: Running LLMs Locally16Chapter 16: Fine-Tuning and Customization17Chapter 17: Introduction to AI Agents18Chapter 18: Tool Use and Function Calling19Chapter 19: Multi-Agent Systems20Chapter 20: Conversational AI Systems21Chapter 21: Content Generation22Chapter 22: AI in Software Development23Chapter 23: Data Analysis and BI24Chapter 24: LLM Risks and Limitations25Chapter 25: Security in LLM Applications26Chapter 26: AI Ethics and Responsible AI27Chapter 27: Cost Optimization28Chapter 28: Latency Optimization29Chapter 29: Evaluation and Monitoring30Chapter 30: Multimodal LLMs31Chapter 31: Fine-Tuned Vertical AI32Chapter 32: The Future of AI Applications33Appendix E: Deeper Practice and Extra Examples
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