#244 post — AGI (@codekz)

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AGI

11 Jul 2018, 22:09

Telegram'da ochish Ulashish Shikoyat qilish

To build better, more intelligent systems it is therefore important to understand the ways in which neural networks are currently able to process abstract concepts, and where they still need improvement. To begin doing this, we took inspiration from the methods used to measure abstract reasoning in human IQ tests.

https://deepmind.com/blog/measuring-abstract-reasoning/

Measuring abstract reasoning in neural networks | DeepMind

Whether neural networks can learn abstract reasoning or whether they merely rely on superficial statistics is a topic of recent debate. Here, we propose a dataset and challenge designed to probe abstract reasoning, inspired by a well-known human IQ test. To succeed at this challenge, models must cop...

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