Encoder vs Decoder: Why BERT and GPT Work Differently — Part 22

1. 1Read about the Transformer architecture using online resources
2. 2Build a simple Encoder model using a library like PyTorch or TensorFlow
3. 3Configure a Decoder model for a specific NLP task like language translation
4. 4Test the performance of both Encoder and Decoder models on a dataset
5. 5Apply the knowledge of Encoder and Decoder to fine-tune a pre-trained model like BERT or GPT

NLP engineers and data scientists on a team benefit from understanding the roles of Encoder and Decoder in AI models to improve language processing capabilities. This knowledge helps them design and implement more effective language models

💡 The Encoder is primarily used for tasks that require understanding the input text, while the Decoder is used for tasks that require generating text

💡 Did you know BERT and GPT work differently due to Encoder and Decoder architectures? #NLP #AI