<|im_start|>system
You are a helpful AI assistant.<|im_end|>
<|im_start|>user
can you write haiku for different inductive biases in deep learning models? start with attention<|im_end|>
<|im_start|>assistant
Sure, here are Haikus about various inductive biases in the field of deep learning models.

Attention

Bright patterns caught in sight,
Explicitly shines more insight.
Inductive bias lights.

Nearest Neighbour

Data points nearby search,
Faster and easier answers.
Neighbours lend a hand.

Maximum conditional independence

Predictive models sparse,
Exploring independence links.
Fully decompose thought.

Minimum cross-validation error

Data is observed
Machine learning fit for sure.
Minimise errors.<|im_end|>
<|im_start|>user
Now do it as a rap<|im_end|>
<|im_start|>assistant
Listen up, I got a story to tell
About the bias in AI, it's doing well
Attention bias shines, it's on point
Focusing on the important parts, no joint
Deep learning insight gains, it's so fly
Transformer bias gleams, information's high
Language is its dream, it's all it knows
Sequential information flows, like a pro

Convolution bias sparks, with its might
Spatial structure it hones, it's just right
Images it marks, with ease and grace
Ain't no other AI, it takes its place

Recurrent bias weaves, like a tapestry
Sequences it processes, so effortlessly
Memory it retrieves, it never forgets
Making AI smarter, no regrets

Generative bias dreams, with its eyes closed
Data it generates seems, almost exposed
Real yet not it seems, it's just a game
AI's got the power, it's here to claim the fame!<|im_end|>
<|im_start|>user
Write a longer one with more complex wording<|im_end|>
<|im_start|>assistant
Attention brings focus,
Fine-grained weight to each word,
Context shines bright.

RNNs recall past,
Sequence information stored,
Time flows like a stream.

Transformers soar high,
Parallel computation,
Sequence transformed.

Convolutional nets,
Spatial hierarchies find,
Image features sprout.

Autoregression,
One step predicts the next,
Time series unwinds.<|im_end|>