Welcome to the Natural Language Processing (NLP) section! Here you'll find curated papers, tutorials, and resources to explore this exciting field of AI. 🚀

Key Topics in NLP

  • Transformer Models: The foundation of modern NLP, enabling parallel processing and better context understanding.
    Transformer_Model
  • Pre-trained Language Models: Like BERT, GPT, and T5, which revolutionized tasks such as text classification and generation.
    Pre_trained_Language_Models
  • Dialogue Systems: From chatbots to virtual assistants, focusing on human-computer interaction.
    Dialogue_Systems
  • Multilingual NLP: Bridging language gaps with models trained across multiple languages.
    Multilingual_NLP

Recommended Papers

  1. "Attention Is All You Need"
    Paper Link - Introduces the Transformer architecture.
  2. "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"
    Paper Link - Pioneering work in bidirectional models.
  3. "Generative Pre-trained Transformer"
    Paper Link - Explores GPT's capabilities in text generation.

Expand Your Knowledge

For hands-on tutorials, check out our NLP Tutorials section. 📚
Need datasets or tools? Explore our Resources page. 🔍

Stay curious! 🌍🧠