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Transformer Architecture and Language Models

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Transformer Architecture and Language Models

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Questions and Answers

What is the primary function of the decoder in a transformer model?

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 (correct)

To learn representations of the entire sequence

What type of language model is used for predicting the next word in a sentence?

Auto-encoding model

Transformer model

Encoder-decoder model

Auto-regressive model (correct)

What is the primary goal of an auto-encoding model?

To generate text based on a prompt

To comprehend the meaning of a sentence

To learn representations of the entire sequence (correct)

To predict a future token given the past tokens

What is the name of the family of models used for Natural Language Generation (NLG)?

<p>GPT</p> Signup and view all the answers

What is the primary goal of an auto-regressive model?

<p>To predict a future token given either the past tokens or the future tokens</p> Signup and view all the answers

Study Notes

Transformer Architecture

A transformer consists of an encoder and a decoder
The encoder takes in input and outputs a matrix representation of that input
The decoder takes in that representation and iteratively generates an output

Language Modeling

A language model is trained to predict a missing word in a sequence of words
There are two types of language models: auto-regressive and auto-encoding

Auto-Regressive Models

Goal: predict a future token (word) given either the past tokens or the future tokens but not both
Applications:
- Predicting next word in a sentence (auto-complete)
- Natural Language Generation (NLG)
- GPT Family

Auto-Encoding Models

Goal: learn representations of the entire sequence by predicting tokens given both the past and future tokens
Applications:
- Comprehensive understanding and encoding of entire sequences of tokens
- Natural Language Understanding (NLU)
- BERT

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Description

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.