CompactAI

We teach tiny neural networks to think. Sometimes they surprise us. Sometimes they just output zeros.

What I Think We Do

We train small AI models from absolute scratch. Every weight begins at nothing. Every parameter earns its place through stubborn repetition and repeated failure. We design architectures that fit on a laptop instead of requiring a small moon for cooling. Our creations handle specific tasks without demanding a power plant.

Why We Keep Them Small

Massive models consume memory and pretend to understand human emotion. We build modest alternatives. They deploy on everyday machines. They run without requiring a cloud architecture degree. They occasionally mix up a decimal place, but they do so with remarkable efficiency. We believe intelligence works best without a huge data center. We chase practical utility over computational excess.

• They load instantly on mobile devices
• They cost pennies to run at scale
• They never ask for your life story
• They respect your limited RAM

Getting Started

Read the documentation if we have written any. Download a model if we have released one. Run it on your machine. Watch it do something small, but do it efficiently. If nothing works, blame the random seed.

We are CompactAI. We make small things work. We apologize in advance when they do not. jk.