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Large Language Models: From Fundamentals to Production
Introduction to LLMs
What Are Large Language Models?
History and Evolution of Language Models
Key Architectures: Transformer, GPT, and Claude
Prompt Engineering
Zero-Shot and Few-Shot Prompting
Chain-of-Thought Reasoning
System Prompts and Role Setting
Prompt Engineering Best Practices
RAG (Retrieval-Augmented Generation)
Understanding Embeddings
Vector Databases
Chunking Strategies
RAG Pipeline Design
Fine-Tuning & Training
Transfer Learning for LLMs
LoRA and QLoRA: Efficient Fine-Tuning
Dataset Preparation for Fine-Tuning
Evaluating Fine-Tuned Models
AI Agents & Tool Use
Agent Architectures
Function Calling and Tool Use
Model Context Protocol (MCP)
Multi-Agent Systems
Deploying LLMs in Production
API Integration Patterns
Cost Optimization Strategies
Safety, Guardrails, and Responsible AI
Monitoring and Observability for LLM Applications