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因为 task-specific data 有限，难蒸馏出好 student model，所以用 mixup 增强数据，teacher 对插值的输入预测，student 学习该预测结果(loss_3，带调节系数超参)，直接学插值输入对应的插值标签(loss_2，带调节系数超参)，学习原始数据(loss_1，无系数)。提供了一些理论证明，在GLUE上做了实验有效。
? What intuitions do you have about the broad content patter…
lkcao updated
8 months ago
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# Support Source Generators
Add support similar to C# Source Generators
The idea is to execute the compiler in two passes:
1. **Pass 1** Parse and type check the project code (the type check …
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Is it possible to add an option so that we can modify the server URL?
So that we can add our OpenAI API compatible servers.
Thanks !
Good work !
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Hi everyone!
My name is David Martin Rius and I have just published this project on GitHub: https://github.com/davidmartinrius/speech-dataset-generator/
Now you can **create datasets automatical…
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It might be possible to use zkSNARKs for verifying computations of neural networks quite efficiently. The reason is that a single multiplication gate might suffice to model a neuron if the activation …
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First, pose a research question you would like to answer (in one, artfully worded sentence ending with a question mark). This could be the same question you posed for any prior week's assignment, or a…
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https://github.com/THUDM/ChatGLM-6B
https://huggingface.co/THUDM/chatglm-6b-int4
It would be best if you could provide some guidance. Thank you.