Transformers Spearhead AI Revolution with Exponential Growth Since 2017
April 13, 2024
Deep learning architectures have been pivotal in AI advancements.
CNNs, RNNs, GANs, Transformers, and Encoder-Decoder models are notable examples.
Transformers, introduced in 2017, are distinguished by their use of attention-weighting and FFNs.
The AI field has seen exponential growth with the advent of transformers.
Transformers are expected to drive future AI developments.
Summary based on 2 sources
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Sources
Towards Data Science • Apr 12, 2024
Deep Dive into Transformers by Hand ✍︎ - Towards Data Science
MarkTechPost • Apr 12, 2024
Deep Learning Architectures From CNN, RNN, GAN, and Transformers To Encoder-Decoder Architectures