Hands-On Large Language Models

Chapters

1. Introduction to Language Models
2. Tokens and Token Embeddings
3. Looking Inside LLMs
4. Text Classification
5. Text Clustering and Topic Modeling
6. Prompt Engineering
7. Advanced Text Generation Techniques and Tools
8. Semantic Search
9. Multimodal Large Language Models
10. Creating Text Embedding Models
11. Fine-Tuning BERT
12. Fine-tuning Generation Models

Consumer-Hardware Follow-up

• Curriculum plan
• Chapter 13: The Local Model Stack
• Chapter 14: Quantization and Local Inference
• Chapter 15: Serving Models Locally