Topic List

Recommended Projects

Deep Learning Interview Guide

Topic modeling using K-means clustering to group customer reviews

Have you ever thought about the ways one can analyze a review to extract all the misleading or useful information?...

Natural Language Processing
Deep Learning Interview Guide

Medical Image Segmentation With UNET

Have you ever thought about how doctors are so precise in diagnosing any conditions based on medical images? Quite simply,...

Computer Vision
Deep Learning Interview Guide

Build A Book Recommender System With TF-IDF And Clustering(Python)

Have you ever thought about the reasons behind the segregation and recommendation of books with similarities? This project is aimed...

Machine LearningDeep LearningNatural Language Processing
Deep Learning Interview Guide

Automatic Eye Cataract Detection Using YOLOv8

Cataracts are a leading cause of vision impairment worldwide, affecting millions of people every year. Early detection and timely intervention...

Computer Vision
Deep Learning Interview Guide

Crop Disease Detection Using YOLOv8

In this project, we are utilizing AI for a noble objective, which is crop disease detection. Well, you're here if...

Computer Vision
Deep Learning Interview Guide

Vegetable classification with Parallel CNN model

The Vegetable Classification project shows how CNNs can sort vegetables efficiently. As industries like agriculture and food retail grow, automating...

Machine LearningDeep Learning
Deep Learning Interview Guide

Banana Leaf Disease Detection using Vision Transformer model

Banana cultivation is a significant agricultural activity in many tropical and subtropical regions, providing a vital source of income and...

Deep LearningComputer Vision
Deep Learning Interview Guide

Build Regression Models in Python for House Price Prediction

Ever wondered how experts predict house prices? This project dives into exactly that! Using Python, we'll build regression models that...

Machine Learning
Deep Learning Interview Guide

Nutritionist Generative AI Doctor using Gemini

Want to enhance your nutrition skills? The Nutritionist Generative AI Doctor, which employs the Gemini model, is here for you....

Generative AI
Deep Learning Interview Guide

Optimizing Chunk Sizes for Efficient and Accurate Document Retrieval Using HyDE Evaluation

This project demonstrates the integration of generative AI techniques with efficient document retrieval by leveraging GPT-4 and vector indexing. It...

Natural Language ProcessingGenerative AI
Loading...

Language Models QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

What is the primary purpose of "fine-tuning" a pre-trained language model?

Question: 2

What is "recursive autoencoders" used for in language models?

Question: 3

What is the "curse of dimensionality" in language modeling?

Question: 4

What is the primary purpose of "compositional language modeling"?

Question: 5

What is "zero-shot translation" in language models?

Question: 6

What is "multi-modal language modeling" focused on?

Question: 7

What is "NLG" short for in language models?

Question: 8

In language models, what is the main goal of "bias mitigation"?

Question: 9

What is the primary benefit of "transfer learning" in language models?

Question: 10

What is "contextual embeddings" in language modeling?

Question: 11

What is Byte-Pair Encoding commonly used for in language models?

Question: 12

What is the primary goal of "GPT-3" in language modeling?

Question: 13

In language modeling, what does "zero-shot learning" refer to?

Question: 14

What is the primary challenge of "out-of-vocabulary words" in language models?

Question: 15

What is "transformer architecture" in neural language models known for?

Question: 16

What is the primary goal of language models in NLP?

Question: 17

What is "beam search" in the context of language modeling?

Question: 18

What is the primary difference between "statistical language models" and "neural language models"?

Question: 19

What does "BERT" stand for in the context of language models?

Question: 20

What is the primary application of "GPT" in language models?

Question: 21

What is "word embedding" in language modeling?

Question: 22

What is the primary difference between "n-gram" models and neural language models?

Question: 23

What is "context window" in language modeling?

Question: 24

What is the primary advantage of using an LSTM in language models?

Question: 25

What is "RNN" short for in language models?

Question: 26

What is "tokenization" in the context of language models?

Question: 27

What is the "perplexity" metric used for in language models?

Question: 28

Which type of language model is commonly used for text prediction and completion?

Question: 29

What is "n-gram" modeling in language models?

Question: 30

What is a "unigram" language model?