In October 2018, the BERT model launched by Google made a stunning impact, sweeping various rankings and even surpassing human baseline scores, achieving a milestone breakthrough in the field of NLP.
Today, for NLP algorithm engineers, BERT has become an essential tool.
“What if there’s too little data?” — “Just fine-tune BERT!”
“What if RNN doesn’t perform well?” — “Just fine-tune BERT!”
“What if I want to improve online performance?” — “Just distill BERT!”
No matter if it’s for projects, research, or competitions, BERT is always present. However, even for those with some foundational knowledge, fully mastering the concepts of BERT can be challenging. Here’s a mind map for everyone to get a sense of it:
So, what exactly is BERT? Why does it perform so well? How can it be applied to your own tasks to achieve greater improvements?
To answer these questions, bienlearn has launched a technical column titled “Core Principles and Practical Applications of BERT”, which delves into the principles and usage techniques of BERT, guiding you step by step to apply BERT in various practical scenarios and tasks.
Scan the QR code above for exclusive discounts.
You will gain:
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Thorough understanding of the BERT model principles from background to derivation.
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Proficiency in solving three classic NLP tasks.
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In-depth analysis of BERT source code, avoiding the need for tuning.
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The development context and core ideas of models in the post-BERT era.
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Advanced techniques for improving performance in practical applications of BERT.
You might want to take a look at the course directory first:
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1. Early bird discount ¥79, original price ¥99.
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