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NLP

  • Q. Demystifying Byte Pair Encoding (BPE)
  • Q. Explain Perplexity
  • Q. What are some of the approaches for decoding the next word in LLMs?
  • Q. What are Embeddings?
  • Q. Overview of Language Models
  • Q. What are some of the most common practical, real world applications of NLP?
  • Q. What are the primary advantages of transformer models?
  • Q. How is topic modeling used in text summarization?
  • Q. Explain the Transformer Architecture (with Examples and Videos)
  • Q. What do you mean by Sequence data? Discuss the different types
  • Q. What are the limitations of transformer models?
  • Q. What are Transformers? Discuss the evolution, advantages and major breakthroughs in transformer models
  • Q. What is Natural Language Processing (NLP) ? List the different types of NLP tasks
  • Q. What are some use cases of Bag of Words model?
  • Q. What is IDF? What do we need IDF?
  • Q. What is Term Frequency (TF)? 
  • Q. What is a Vector Space Model?
  • Q. What is tokenization?
  • Q. What is meant by Corpus and Vocabulary in Natural Language Processing?
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      • Sequence models (6)
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      • Regularization (6)
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Other Questions in NLP
  • What is a Gaussian Mixture Model (GMM)?
  • What is Supervised Fine-Tuning?
  • What is the problem with using a generic list of stop words? 
  • What is Underfitting?
  • T5 Architecture Explained & Encoder-Decoder Model Comparison
  • Rewards in Reinforcement Learning: What They Are & How to Design
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