Large Language Models Quiz

What are large language models (LLMs) used for?

• Data visualization

• Speech recognition

• Natural language processing

• Image processing

What is the architecture used in cutting-edge large language models?

• RNN

• CNN

• Transformer

• LSTM

What is the purpose of the encoder block in a transformer model?

• Create semantic representations of the training vocabulary

• Classify natural language text

• Generate new language sequences

• Summarize text

What is the first step in training a transformer model?

• Attention

• Tokenization

• Decoding

• Embeddings

What are embeddings used for in a transformer model?

• Predicting the next token in a sequence

• Calculating attention scores

• Tokenization

• Representing semantic relationships between tokens

What is the purpose of attention layers in a transformer model?

• Calculate token embeddings

• Examine the relationships between tokens

• Generate new language sequences

• Predict the next token in a sequence

What is the goal of the attention layer in a decoder block?

• Calculate token embeddings

• Generate new language sequences

• Predict the next token in a sequence

• Examine the relationships between tokens

What does a transformer model like GPT-4 do?

• Generate meaningful sequences of words

• Classify natural language text

• Translate languages

• Perform image recognition

What enables a large language model like GPT-4 to generate powerful completions?

• Simple mathematical principles

• Limited vocabulary

• Small training data

• Complex network architecture

What does the transformer model use to predict the most probable token in the model's vocabulary?

• Tokenization

• Embeddings

• Attention scores

• Neural network