Transformer Architecture and Language Models
Understand the core components of transformer models, including the encoder and decoder, and learn about the different types of language models used in natural language processing tasks. Test your knowledge of auto-regressive and auto-encoding models and how they're used to predict future tokens in a sequence of words.
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Transformer Architecture and Language Models
Quiz • 5 Questions
Study Notes
1 min • Summary
Transformer Architecture and Language Models - Podcast
Podcast
Materials
List of Questions5 questions
- Question 1
- To predict a future token given the past tokens
- To output a matrix representation of the input
- To iteratively generate an output from the input representation
- To learn representations of the entire sequence
- Question 2
- Auto-encoding model
- Transformer model
- Encoder-decoder model
- Auto-regressive model
- Question 3
- To generate text based on a prompt
- To comprehend the meaning of a sentence
- To learn representations of the entire sequence
- To predict a future token given the past tokens
- Question 4
- BERT
- Encoder
- GPT
- Transformer
- Question 5
- To predict a future token given either the past tokens or the future tokens
- To learn representations of the entire sequence
- To generate text based on a prompt
- To predict a future token given both the past and future tokens