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Equation 2 · Part 6 · Building a Multimodal AI Application That Actually Uses Its Inputs

addition

h=W0x+ΔWxh = W_0 x + \Delta W x
addition

What this part means

Add the term after the plus sign to the term or group before it.

Its job in the formula

Add the term after the plus sign to the term or group before it.

The passage around this formula

with the forward pass computing h = W0W_0 x + Δ\Delta W x against the frozen base weight W0W_0 . The method’s authors report reducing the number of trainable parameters by roughly ten thousand times and GPU memory requirements by roughly three times relative to full fine-tuning of a 175-billion-parameter model, while matching or exceeding full fine-tuning quality and adding no additional inference latency, since the low-rank update can be merged back into the base weight at deployment time [ 1 ] . QLoRA extends the same idea to quantized base weights, and its authors report finetuning a 65-billion-parameter model on a single 48-gigabyte GPU while preserving full 16-bit finetuning performance,…

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Learn the underlying idea

Addition combines quantities; subtraction measures the signed difference between them. Parentheses show what is combined before the rest of the expression is evaluated.

Open the illustrated addition and subtraction in an equation guide →

Sources cited in the surrounding passage

These citations provide research context; check each source for the exact claim it supports.