DART

DART
6 Months Beginners to Advance English
  • Introduction to BART
  • Overview of Transformer Models
  • Bidirectional Encoding: Understanding BERT
  • Auto-Regressive Decoding: Understanding GPT
  • BART Architecture: Combining BERT and GPT
  • Training BART: Pre-training and Fine-tuning
  • Text Generation with BART
  • Text Summarization using BART
  • Text-to-Text Transfer Learning
  • Applications of BART in NLP Tasks
  • BART for Sequence-to-Sequence Tasks
  • Preprocessing Data for BART Models
  • Training and Fine-Tuning BART on Custom Datasets
  • Evaluating BART Model Performance
  • Advanced Applications of BART (e.g., Translation, Question Answering)
  • Comparison of BART with Other NLP Models (e.g., T5, BERT, GPT)
  • BART Model Fine-tuning with Hugging Face Transformers
  • Deploying BART Models in Production
  • Challenges and Limitations of BART Models
  • Recent Developments and Research in BART
  • Hands-On with BART: Building NLP Applications
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