1Introduction
10Optimization Techniques and Loss Functions
2Introduction to Language Models and Their Impact
11Evaluation Metrics and Benchmarking Performance
3From Rule-Based to Neural Nets: A Brief History
12Addressing Bias, Fairness, and Ethical Concerns
4Understanding Transformers: The Architecture Behind LLMs
13Deployment: Serving LLMs at Scale
5Data Collection: Building the Right Dataset
14Cost and Resource Management in LLM Development
