Generative AI: Introduction to Large Language Models

Gain a foundational knowledge of how large language models and other Generative AI models work.

Introduction

• Generative AI with large language models

1. Large Language Models

• What is generative AI?
• What is a large language model?
• Types of large language models
• The evolution of large language models

2. Neural Networks and Language Models

• What is a neural network?
• How do neural networks learn?
• Deep learning and its significance

3. Building Blocks of Large Language Models

• The Transformer architecture
• What is an encoder-decoder?
• The attention mechanism
• How does self-attention work?

4. Societal Implications of Large Language Models

• Common applications of large language models
• Challenges with large language models
• The future of large language models

Conclusion

• Next steps