Pathway 15: "I'm a Hobbyist Building Weekend Projects" (Curious Tinkerer)
Target audience: Hobbyists and curious tinkerers who want to build fun, useful things with LLMs
Goal: Get from idea to working prototype as fast as possible, then go deeper in whichever direction excites you most.
Chapter Guide
- Start Ch 10: Working with LLM APIs (get something working in 30 minutes) get something working in 30 minutes
- Start Ch 11: Prompt Engineering (make it work well) make it work well with better prompts
Pick Your Adventure
- Build a chatbot: Ch 21: Conversational AI build a chatbot you can talk to
- Build a personal knowledge base: Ch 19: Embeddings, Ch 20: RAG store your personal documents for search
- Build an AI agent: Ch 22: AI Agents, Ch 23: Tool Use build an agent that takes actions for you
- Fine-tune a small model: Ch 14: Fine-Tuning, Ch 15: PEFT/LoRA personalize a small model on your data
- Try multimodal AI: Ch 27: Multimodal Models experiment with image and audio models
- Explore the frontiers: Ch 34: Emerging Architectures, Ch 35: AI and Society see where the field is heading next
Recommended Appendices
- Appendix C: Python for LLM Development – review Python patterns used throughout the book
- Appendix D: Environment Setup – set up your development environment
- Appendix K: HuggingFace: Transformers, Datasets, and Hub – access pretrained models and datasets for free
What Comes Next
Return to the Reading Pathways overview to explore other pathways, or proceed to FM.4: How to Use This Book for a quick orientation on conventions and callout types, then start reading.