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Transformer model achieves 100% multiplication accuracy with manually set weights

By PulseAugur Editorial · [1 sources] ·

A developer manually set the weights of a Transformer model to perform multiplication, achieving 100% accuracy on three-digit calculations without any training. This approach bypasses the known limitations of standard Transformers in arithmetic tasks. The developer created four versions of the model, each employing different computational strategies, and published checkpoints for others to use. AI

IMPACT Highlights a potential avenue for improving specific task performance in LLMs by exploring direct weight manipulation over standard training methods.

RANK_REASON Demonstrates a novel method for achieving high accuracy in arithmetic tasks with Transformer models by directly manipulating weights, bypassing traditional training. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Transformer model achieves 100% multiplication accuracy with manually set weights

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Demonstrates a novel method for achieving high accuracy in arithmetic tasks with Transformer models by directly manipulating weights, bypassing traditional training. [lever_c_demoted from research:…
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/notforrob ·

    Transformers are famously bad at arithmetic, so I set one's weights by hand (no training) and it multiplies with 100% accuracy [P]

    <!-- SC_OFF --><div class="md"><p>Obviously nobody needs a transformer that's good at multiplication. I wanted to know whether a stock transformer could do exact arithmetic if I chose its weights directly.</p> <p>I implemented the grade-school algorithm as a computation graph and…

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