In an era when artificial intelligence technology is making leaps and bounds. Natural Language Processing (NLP) is also constantly evolving.
One of the models that has made a big difference in the industry is the "Transformer" presented in the "Attention Is All You Need" research.
It not only breaks the limitations of old models, but also opens the door to the development of AI that understands human language better.
This is a breakthrough development in AI that led to the birth of ChatGPT.
What is a Transformer and Why is it so special?
A transformer is a model designed to manipulate sequential information, such as sentences, using an "attention" mechanism. It's at the heart of work.
Instead of processing data one piece at a time like the old model, the Transformer can see the whole data in its entirety at once.
Imagine that we are translating a sentence from English to Thai. Instead of reading and translating word by word, Transformer "looks" at the entire sentence at once and "pays attention" to key words when translating.
Transformer Operation: Easy to Understand Yet Powerful
The Transformer consists of two main parts:
- Encoder: Act like an analyst who reads and understands data.
- Decoder: Act like a writer generating results from the data that Encoder analyzes.
Illustration from the research paper "Attention is all you need"
Both parts use a multi-head attention mechanism, which allows the model to focus on multiple parts of data at the same time.
It's like a team of experts looking at data from multiple angles and combining feedback to get the best results.
Amazing performance: fast and accurate
Transformer not only performs well, but also does it faster than its predecessor.
In the translation test, the Transformer language was able to score a BLEU score as high as 28.4 for the English to German translation and 41.8 for the English to French translation, which is significantly higher than the best models in the past.
In addition, Transformer can train very fast, just 3.5 days on 8 GPUs.
More than just translation: a wide range of capabilities
While Transformer stands out for translation, its capabilities aren't limited to that.
- Constituency Parse
- Text Summarization
- Question Answering
- Product introductions and chatbot systems that understand natural language
- Automated email composing
This flexibility makes Transformer the foundation of the Large Language Models we are familiar with, such as GPT and BERT.
Conclusion: Major Changes in the AI Industry
Transformers are not only models in NLP, but revolutionaries that are changing the way we understand and process language.
In the future, we may see the use of Transformer in other areas, such as audio-visual processing, which will lead to the development of AI that responds to the world around it more naturally.
Transformer is not just a technological innovation, but an important step that will usher in a new era of artificial intelligence that better understands humans.
Derivation:
Chat with research papers