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348M parameter model masters 14-digit arithmetic by showing its work

A developer has trained a 348 million parameter language model on 22.7 billion tokens, which demonstrates advanced arithmetic capabilities. The model achieves 99.4% accuracy on GPT-3 arithmetic benchmarks and can perform calculations up to 14 digits by showing its work, a significant improvement over previous iterations. This enhanced performance is attributed to the model's ability to learn and extend place-value naming conventions beyond its training data. AI

IMPACT Demonstrates how improved vocabulary and data can significantly enhance a model's arithmetic reasoning capabilities, potentially influencing future model training strategies.

RANK_REASON The cluster describes a custom-trained language model with specific performance metrics on arithmetic tasks, fitting the research category. [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 →

348M parameter model masters 14-digit arithmetic by showing its work

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0 / 100
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Tool
The cluster describes a custom-trained language model with specific performance metrics on arithmetic tasks, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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High
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Story freshness
16 days old
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COVERAGE [1]

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

    I trained a 348M model trained from scratch on 22.7B tokens that does 14 digit arithmetic [P]

    <!-- SC_OFF --><div class="md"><p>Hello this is my fifth small language model I've made and apart of my third series and it has been a lot of work but it payed off: **348M parameters, 22.7B tokens**, then fine-tuned into a math model that solves arithmetic by *showing the work* —…