Natural Language Understanding with Transformers Computer Science Assignment Solutions


Background: Transformers have revolutionized natural language processing tasks. In this assignment, you will explore advanced techniques in NLP using transformer-based models.

Tasks:

  1. Implement a custom transformer model for a specific NLP task (e.g., sentiment analysis, text summarization) using a deep learning framework like PyTorch.
  2. Fine-tune a pre-trained transformer model (e.g., BERT or GPT-3) on a domain-specific dataset and evaluate its performance against baseline models.
  3. Investigate and report on recent advancements in transformer-based NLP models and their impact on real-world applications, discussing challenges and potential future developments.
 

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