Xifeng Fish and Sheep Originating from Aofei TempleQuantum bit | official account QbitAIMusk's xAI, the first publicly available research result has arrived!One of the common works is a founding member of xAI and a disciple of Qiu Chengtongyoung (GregYang).young xAIMath for AIAI for Math

Xifeng Fish and Sheep Originating from Aofei Temple

Quantum bit | official account QbitAI

Musk's xAI, the first publicly available research result has arrived!

One of the common works is a founding member of xAI and a disciple of Qiu Chengtongyoung (GregYang).

young xAIMath for AIAI for Math.

One of the key points is to continue his previous research:

Relevant achievements have been applied in GPT-4.

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young .

Let's see what exciting content is worth marking together~

Training Infinite Depth Neural Networks

ResNet.

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As the network deepens, the scale of features will continue to increase, leading to network instability; After deepening the network, it is necessary to readjust the hyperparameters, and the workload is not small

young Method,.

They first thought of two extreme cases for the existence of infinitely wide neural networks: either the nuclear machine(kernelmachines)Either it's a feature learner(featurelearners)..

Tensor Programs.

Tensor Programsyoung Using mathematical language, establish a low-level programming language that can describe and analyze neural network architecture.

Tensor Programs.young .

The part of mathematical derivation will not be specifically expanded here. We can briefly experience the art style

On the basis of these deductive analyses, the author proposesMethod,Can achieve hyperparameter migration in the depth direction.

• La/sqrt(L).
• L.SGDAdam/sqrt(L).

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Q:It sounds like you are building an artificial computer brain capable of reasoning, so is this what you are researching? In addition, I am also a mother. My 7-year-old son is very interested in mathematics. Do you have any suggestions for him to continue his interest and enthusiasm in the AI field?

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7xAIyoung xAIxAI.

xAIyoung Tensor ProgramsDeveloping the 'Theory of Everything' for large-scale deep learningThat is to find a theoretical rule that canTruly understand the behavior of AI big models.

He also stated:

AI.

Paper link: https://arxiv.org/abs/2310.02244

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