EDGE OSDEFINITION
A Transformer model is a deep learning model that uses the attention mechanism to analyze sequential data like text. Introduced in the research paper ‘Attention Is All You Need’, Transformer models allow models to understand the relationship between different words/tokens within a sequence.
They can be trained to process multiple tokens at once, unlike traditional recurrent neural networks. As they can understand the contextual relationships between tokens they have become the basis for many modern AI models such as large language models, translators, text generators and multi-modal AI.
Why Transformer models are important
- Understand relationships between words in long sequences.
- Can process multiple tokens at once.
- Can be used to create large language models.
- Understand complex languages and patterns.
When to use Transformer models
- Conversational AI/Chatbots.
- Text Summarization.
- Language Translation and Sentiment Analysis.
- Coding Assistants and Multi-modal AI.
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