Unit 4.3 โ€” Working with Large Language Models

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[Verse 1]
Large language models wait in silicon halls
Feed them prompts like puzzle pieces, watch intelligence crawl
Zero-shot means no examples, just pure instruction flight
Few-shot drops some breadcrumbs, shows the model what's right
Chain-of-thought breaks problems down, step by careful step
Tree-of-thought splits branches wide, explores what others skipped

[Chorus]
Prompt and tune and evaluate
Parameter efficient, don't you wait
LoRA, QLoRA, adapters too
Fine-tune smarter, not harder, breakthrough
RAG retrieval, chunks and ranks
RLHF feedback, fill the blanks
LLMs dancing, make them sing
Code and query everything

[Verse 2]
System prompts design personas, set behavioral walls
Full fine-tuning burns resources, budget quickly falls
Low-rank adaptation saves the day with focused touch
Modular layers, adapter magic, achieves twice as much
Retrieval-augmented generation pulls from knowledge stores
Chunking documents, embedding vectors, opening new doors

[Chorus]
Prompt and tune and evaluate
Parameter efficient, don't you wait
LoRA, QLoRA, adapters too
Fine-tune smarter, not harder, breakthrough
RAG retrieval, chunks and ranks
RLHF feedback, fill the blanks
LLMs dancing, make them sing
Code and query everything

[Bridge]
MMLU benchmarks test the knowledge span
HumanEval checks if code can stand
GPQA measures reasoning deep
LLM-as-judge, promises to keep
Red team attacks expose the cracks
Systematic testing, no looking back

[Verse 3]
LangChain frameworks, LlamaIndex tools
Build your corpus, follow rules
Embedding space where vectors meet
Reranking makes results complete
Human feedback shapes the mind
Reinforcement learning, perfectly refined

[Final Chorus]
Prompt and tune and evaluate
Parameter efficient, don't you wait
LoRA, QLoRA, adapters too
Fine-tune smarter, not harder, breakthrough
RAG retrieval, chunks and ranks
RLHF feedback, fill the blanks
LLMs dancing, make them sing
Master every model thing

[Outro]
Silicon teachers, neural dreams
Nothing's quite the way it seems
Prompt engineering, art and craft
Fine-tune forward, never draft

โ† Unit 4.2 โ€” The Transformer Architecture | Unit 4.4 โ€” Agentic AI & Multi-Model Systems โ†’