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Natural Language Processing

Q. Adapting Large Language Models to your app: a practical guide
Q. Explain Perplexity
Q. What are some of the approaches for decoding the next word in LLMs?
Q. Explain BLEU (Bilingual Evaluation Understudy)
Q. What are Embeddings?
Q. What is topic modeling? Discuss key algorithms, working, applications, and the pros and cons
Q. What are the advantages and disadvantages of Bag-of-Words model?
Q. What is Bag-of-Words Model? Explain using an example
Q. What are Language Models? Discuss the evolution of Language Models over time
Q. What are some of the most common practical, real world applications of NLP?
Q. How is topic modeling used in text summarization?
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. In what cases (and why) does using Binary Occurrence instead of TF-IDF makes more sense?
Q. What is Vector Normalization? How is that useful?
Q. What is the problem with using a generic list of stop words?
Q. How to identify Stop Words?
Q. What is Lemmatization?
Q. What happens to new words that appear in Test dataset but are not present in Training Data?
Q. What are the Advantages/Disadvantages of a n-gram model
Q. What is an N-gram Language model? Explain its working in detail
Q. What is Laplace Smoothing? What is Additive Smoothing? Why do we need smoothing in IDF?
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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Explore Questions by Topics

Computer Vision (1)
Data Preparation (35)
- Feature Engineering (30)
- Sampling Techniques (5)
Deep Learning (52)
- DL Architectures (17)
  - Feedforward Network / MLP (2)
  - Sequence models (6)
  - Transformers (9)
- DL Basics (16)
- DL Training and Optimization (17)
Generative AI (2)
Machine Learning Basics (18)
Natural Language Processing (27)
- NLP Data Preparation (18)
Statistics (34)
Supervised Learning (115)
- Classification (70)
  - Classification Evaluations (9)
  - Ensemble Learning (24)
  - Logistic Regression (10)
  - Other Classification Models (9)
  - Support Vector Machine (9)
- Regression (41)
  - Generalized Linear Models (9)
  - Linear Regression (26)
  - Regularization (6)
Unsupervised Learning (55)
- Clustering (37)
  - Clustering Evaluations (6)
  - Distance Measures (9)
  - Gaussian Mixture Models (5)
  - Hierarchical Clustering (3)
  - K-Means Clustering (9)
- Dimensionality Reduction (9)

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Other Questions in Natural Language Processing

What is Within Cluster Sum of Squares (WCSS)?
What are some approaches for modeling non linear relationships?
What is Kernel PCA?
What problems would arise from using a regular linear regression to model a binary outcome?
What is the problem with using a generic list of stop words?
What is Classification?

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