University · Data Science · Natural Language Processing for Data Science
Large Language Models: Transformers, BERT, and GPT Architecture
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A technical deep-dive into the Transformer architecture, the self-attention mechanism, and the two dominant pretraining paradigms — BERT's masked language modeling and GPT's autoregressive language modeling.
Inhaltsübersicht
- The Transformer Architecture
- BERT: Bidirectional Encoder Representations
- GPT: Generative Pretrained Transformers
- Large Language Models: Architecture Variants, Capabilities, and Limitations
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