Solving math word problems

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New AI system solves grade school math word problems with high accuracy, outperforming fine-tuned GPT-3 model

intermediate Published 29 Oct 2021
Action Steps
  1. Train a language model on a dataset of math word problems
  2. Fine-tune the model to improve accuracy
  3. Compare the performance of the new model to existing models, such as GPT-3
  4. Evaluate the model's performance on a test set, including comparison to human performance
Who Needs to Know This

AI engineers and researchers can benefit from this breakthrough, as it demonstrates the potential for AI to improve math education and problem-solving capabilities

Key Insight

💡 AI can be trained to solve math word problems with high accuracy, potentially improving math education

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🤖 AI solves math word problems with 90% accuracy of human kids!

Key Takeaways

New AI system solves grade school math word problems with high accuracy, outperforming fine-tuned GPT-3 model

Full Article

We’ve trained a system that solves grade school math problems with nearly twice the accuracy of a fine-tuned GPT-3 model. It solves about 90% as many problems as real kids: a small sample of 9-12 year olds scored 60% on a test from our dataset, while our system scored 55% on those same problems.
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