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Why Is GPT Better Than BERT? A Detailed Review of Transformer Architectures
This story was originally published on HackerNoon at: https://hackernoon.com/why-is-gpt-better-than-bert-a-detailed-review-of-transformer-architectures.
Details of Transformer Architectures Illustrated by BERT and GPT Model
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #large-language-models, #gpt, #bert, #natural-language-processing, #llms, #artificial-intelligence, #machine-learning, #technology, and more.
This story was written by: @artemborin. Learn more about this writer by checking @artemborin's about page,
and for more stories, please visit hackernoon.com.
Decoder-only architecture (GPT) is more efficient to train than encoder-only one (e.g., BERT). This makes it easier to train large GPT models. Large models demonstrate remarkable capabilities for zero- / few-shot learning. This makes decoder-only architecture more suitable for building general purpose language models.
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This story was originally published on HackerNoon at: https://hackernoon.com/why-is-gpt-better-than-bert-a-detailed-review-of-transformer-architectures.
Details of Transformer Architectures Illustrated by BERT and GPT Model
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #large-language-models, #gpt, #bert, #natural-language-processing, #llms, #artificial-intelligence, #machine-learning, #technology, and more.
This story was written by: @artemborin. Learn more about this writer by checking @artemborin's about page,
and for more stories, please visit hackernoon.com.
Decoder-only architecture (GPT) is more efficient to train than encoder-only one (e.g., BERT). This makes it easier to train large GPT models. Large models demonstrate remarkable capabilities for zero- / few-shot learning. This makes decoder-only architecture more suitable for building general purpose language models.
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