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Transformer Usage
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Summary
Transformer Usage
involves utilizing
Transformer Models
, a type of
Deep learning architecture
, to handle a variety of tasks in
Natural Language Processing
and beyond. These models are built on
Self-attention mechanisms
, allowing them to efficiently process and generate
Human-like text
by considering the
Context of entire sequences
at once.
Concepts
Self-Attention
Natural Language Processing
Encoder-Decoder Architecture
Transfer Learning
Tokenization
Sequence-to-Sequence Learning
Language Modeling
Machine Translation
Fine-tuning
Pretraining
Low Voltage
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