[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