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AI Concepts Workshop

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LoRA & PEFT

Specializing giant models without the giant bills. The power of model 'patching'.

x
Input
W₀
Frozen
175B Parameters
(Do Not Touch)
=
h
Output

Inference Control

Total Params:175,000,000,000
Trainable Params:0
VRAM Usage:320 GB
> The model explains the concept of recursion._
Founder Note

Notice how the massive W₀ block never changes. LoRA injects trainable rank decomposition matrices into each layer of the Transformer architecture, allowing you to "steer" the model's behavior without retraining the original 175 billion parameters.