Introduction to OpenAI GPT Models 

Language Model Quiz

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14m 28s

(Submitted)

Q1 of 4outlined_flag

Identify which among below divides the data space into individual classes by learning from their boundaries

Generative models

Discriminative models check

Generalized models

Polynomial models

Option Discriminative models is correct

Q2 of 4outlined_flag

Identify the process that deciphers and analyzes spoken and written language.

Natural Language Understanding check

Natural Language Generation

Natural Language Invention

Natural Language Development

Option Natural Language Understanding is correct

Q3 of 4outlined_flag

What is the type of Input data processed by GPT models?

Image data

Video data

Text data

Text and Image data check

Option Text and Image data is correct

Q4 of 4outlined_flag

State True/False.

GPT Models can be used to know the real time news.

True

False check

Option False is correct

Pretrained Models Quiz

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13m 42s

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Q1 of 4outlined_flag

Identify some of the pre-trained image models from below list.

AlexNet check

GoogLeNet check

BERT

BLOOM

Option AlexNet is correct

Option GoogLeNet is correct

Q2 of 4outlined_flag

State True/False from below statement:
GPT models can be used to create classification labels based on what it already understands about the input text being classified. 

True check

False

Option True is correct

Q3 of 4outlined_flag

Select all the TRUE statements from below options about Transformers.

They cannot solve sequence-to-sequence tasks.

The complexity of the model is based on the number of parameters it is trained on. check

They use attention mechanism that allows training data with larger datasets. check

They have Encoder and Decoder components in their architecture. check

Option The complexity of the model is based on the number of parameters it is trained on. is correct

Option They use attention mechanism that allows training data with larger datasets.  is correct

Option They have Encoder and Decoder components in their architecture. is correct

Q4 of 4outlined_flag

Identify the activities for which Transfer learning technique is used for.

Feature Extraction check

Model Deployment

Fine Tuning check

Data Creation

Option Feature Extraction is correct

Option Fine Tuning is correct

Q1 of 10

Identify all the limitations of GPT Models?

They are expressive.

They may give incorrect answers sometimes.

They lack empathy.

Their inability to understand complex contexts.

Q2 of 10

State True/False: GPT Open AI models can be used for automated code generation, code completion tasks.

true

false

Q3 of 10

Which OpenAI GPT model is specifically designed for image generation and manipulation tasks, in addition to text generation?

GPT-4 Turbo

DALL-E

Moderation

Embeddings

Q4 of 10

Which of the following language task can be perfomed by GPT?

Summarization

Translation

Writing article

Text classification

Q5 of 10

Which of the following are the examples of pretrained model?

Google's BERT

Facebook's RoBERTa

OpenAI's GPT

Microsoft's Turing-NLG

Q6 of 10

In the context of GPT models, what does "few-shot learning" refer to?

Training the model on a large dataset for multiple epochs

Training the model on a very small dataset

Fine-tuning the model on a specific task

Pretraining the model on a wide range of tasks

Q7 of 10

State True/False: GPT pretrained model can be used to predict only one next word for a given output sentence.

true

false

Q8 of 10

GPT is a neural network based deep learning model named …................

Transformers

Convolution Neural Network

Recurrent Neural Network

Transfer

Q9 of 10

Which of the following basic constructs of GPT OpenAI relates to user input?

Prompt

Completion

Tokens

Response

Q10 of 10

State True/False: GPT uses transformer model based on attention mechanism to generate the output text sequence.

true

false