Topics - Natural Language Processing

• Tokenizer Models
• Embedder Model:
  • Word2Vec
  • BERT
  • Embedding Sentences with BERT
  • Sentence-BERT
• Language Model Architectures
  • Recurrent Neural Networks (RNN)
  • Long Short Term Memory (LSTMs)
  • Transformers
• Large Language Models
• Text Preprocessing Techniques
  • Text Cleaning
  • Normalization
  • Stop Word Removal
  • Lemmatization/Stemming
• Document Representation
• Model Training
  • Loss Functions
  • Optimization Algorithms
  • Hyperparameter tuning and Transfer Learning
• Evaluation Metrics
  • BLEU Score
  • ROUGE Score
  • Perplexity
  • F1 Score
• Training Techniques
  • Transfer Learning
  • Fine-tuning
  • Few-shot Learning
  • Zero-shot Learning
• Applications of NLP
  • Text Classification
  • Named Entity Recognition
  • Machine Translation
  • Question Answering
  • Text Generation
• Deployment of Deep Learning Models
  • Model Optimization
  • Model Serving
  • Monitoring
  • Maintenance