Generative AI Language Modeling with Transformers
Coursera · intermediate · 9h
★ 4.5157 reviews$49/moCertificate included
This course provides a practical introduction to using transformer-based models for natural language processing (NLP) applications. You will learn to build and train models for text classification using encoder-based architectures like Bidirectional Encoder Representations from Transformers (BERT), and explore core concepts such as positional encoding, word embeddings, and attention mechanisms.
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