[Verse 1]
Back in twenty seventeen, the game completely changed
"Attention Is All You Need" got the whole field rearranged
No more recurrent networks, no more sequence by sequence
Just self-attention mechanisms, that's the new achievement
Transformers took the stage with encoder-decoder might
Parallel processing power, training faster day and night
[Chorus]
Key papers paving the way
Twenty seventeen to today
Attention, BERT, and GPT
Instruction following, RAG, and scaling theory
These foundations changed the game
Every AI engineer should know these names
Attention, BERT, and GPT
The papers that set intelligence free
[Verse 2]
BERT came in twenty nineteen with bidirectional sight
Pre-training on masked language, context left and right
No more just left-to-right reading, now we see both ways
Fine-tuning for downstream tasks, revolutionized our days
Encoder-only architecture, understanding at its best
BERT showed us representation learning passed every test
[Chorus]
Key papers paving the way
Twenty seventeen to today
Attention, BERT, and GPT
Instruction following, RAG, and scaling theory
These foundations changed the game
Every AI engineer should know these names
Attention, BERT, and GPT
The papers that set intelligence free
[Verse 3]
Twenty twenty brought us GPT-3, one-seven-five billion strong
"Language Models are Few-Shot Learners" proved the doubters wrong
In-context learning emerged, no fine-tuning required
Just prompt and demonstration, that's all that's desired
Emergent capabilities surfaced at this massive scale
Few-shot, one-shot, zero-shot, they all began to sail
[Bridge]
InstructGPT in twenty twenty-two
RLHF made models follow through
Human feedback teaching what we need
Helpful, harmless, honest indeed
RAG connected knowledge stores
Retrieval-augmented opened doors
External databases, internal reasoning combined
The best of both worlds, perfectly designed
[Verse 4]
Scaling Laws showed us the path to optimal training runs
Compute budget allocation, how to spend those cycles and funds
Power laws for performance, loss decreases predictably
Model size and data size, scaled proportionally
These six papers changed the field, from attention to instruction
Built the foundation for our AI construction
[Chorus]
Key papers paving the way
Twenty seventeen to today
Attention, BERT, and GPT
Instruction following, RAG, and scaling theory
These foundations changed the game
Every AI engineer should know these names
Attention, BERT, and GPT
The papers that set intelligence free
[Outro]
From Transformers to InstructGPT
These papers wrote our history
The building blocks of modern AI
Standing on giants, reaching the sky