Apr 14, 2021
Robots Supervise Robots, Bad Labels Plague Datasets, Large Language Models Learn Chinese, Transformers Assimilate GANs
Machine learning development is highly iterative. Rather than designing a grand system, spending months to build it, and then launching it and hoping for the best, it’s usually better to build a quick-and-dirty system, get feedback, and use that feedback to improve the system.
Image Generation Transformed
A recent generative adversarial network (GAN) produced more coherent images using modified transformers that replaced fully connected layers with convolutional layers. A new GAN achieved a similar end using transformers in their original form.
Large Language Models for Chinese
Researchers unveiled competition for the reigning large language model GPT-3. What’s new: Four models collectively called Wu Dao were described by Beijing Academy of Artificial Intelligence, a research collective funded by the Chinese government, according to Synced Review.
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