Model Architectures
BART
Bidirectional and Auto-Regressive Transformer - combines BERT-like encoder with GPT-like decoder for sequence-to-sequence tasks.
Related Concepts
- Encoder-Decoder: Explore how Encoder-Decoder relates to BART
- Transformer: Explore how Transformer relates to BART
- Denoising: Explore how Denoising relates to BART
Why It Matters
Understanding BART is crucial for anyone working with model architectures. This concept helps build a foundation for more advanced topics in AI and machine learning.
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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.
Tags
model-architectures encoder-decoder transformer denoising
Related Terms
Encoder-Decoder
A architecture where the encoder processes input and the decoder generates output, used in translation and sequence-to-sequence tasks.
Transformer
A neural network architecture introduced in 'Attention is All You Need' (2017) that relies entirely on self-attention mechanisms, becoming the foundation for modern LLMs.