Introduction to Language Models
History of Language Models
Types of Language Models
Applications of Language Models
Architecture of Large Language Models
Neural Network Fundamentals
Transformer Architecture
Training Processes
Working Mechanisms of LLMs
Tokenization Techniques
Contextual Embeddings
Attention Mechanism
Evaluation of Language Models
Performance Metrics
Benchmark Datasets
User-Centric Testing
Ethics and Challenges
Bias in Language Models
Data Privacy Issues
Responsible AI Use
Hands-on Training with LLMs
Using Pre-trained Models
Fine-tuning Techniques
Real-world Projects
Future of Language Models
Emerging Trends
Innovative Applications
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