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Introduction
Comprehensive Understanding of LLMs for Application Development
References
Model Selection & Trade-offs
Context Window & RAG Considerations
Performance & Optimization
Generation Parameters
Cost & Pricing
Fine-tuning & Customization
Model Size & Quantization
Security & Privacy
Hallucination & Factuality
Monitoring & Observability
Rate Limiting & API Management
Multimodal Capabilities
Domain-Specific Models
Knowledge Cutoff & Data Freshness
Evaluation Metrics
Reasoning & Prompting
Output Consistency & Reproducibility
Model Architecture
Instruction Tuning & RLHF
Tokenization
Open Source vs. Proprietary
Streaming Responses
Caching
Error Handling
Tool/Function Calling