Natural Language Processing and LLMs

Explore NLP, tokenization, word embeddings, sentiment analysis, Transformers, and Large Language Models.

Questions

20, in 5 parts: Text Preprocessing and Tokenization · Word Embeddings and Vectors · Trick Questions · Transformers and Attention · NLP Applications and Evaluation

Chapter

Artificial Intelligence

Game

Citadel

Pack language

English

A taste of what is inside

1. Subfield of artificial intelligence focused on enabling computers to understand and generate human text is:Computer VisionNLP (Natural Language Processing)Reinforcement LearningRobotics
2. Technique representing words as dense real-valued numerical vectors capturing semantic relationships is:ASCII conversionBag-of-WordsOne-hot encodingWord embedding
3. Do Large Language Models (LLMs) possess conscious human comprehension and true intentionality?No, LLMs compute token likelihoodsNo, unless attached to camerasYes, LLMs developed consciousnessYes, LLMs understand human emotion