ChatGPT - Friend or Foe?

What is ChatGPT?

• A chatbot software

• A large language model developed by OpenAI

• A question-answering system

• A language translation software

How does ChatGPT generate text?

• Using a recurrent neural network (RNN)

• Using a convolutional neural network (CNN)

• Using the transformer architecture and self-attention mechanism

• Using a support vector machine (SVM)

How was ChatGPT trained?

• Unsupervised learning

• Reinforcement learning

• Supervised learning

• Semi-supervised learning

What is the main purpose of ChatGPT?

• To generate human-like text based on input

• To classify images

• To translate between languages

• To identify objects in images

What are the limitations of ChatGPT?

• It requires large amounts of computational resources and training data

• It generates highly biased and incorrect output

• It does not have real-world applications

• All of the above

How does ChatGPT understand context?

• By using the transformer architecture and self-attention mechanism

• By using a recurrent neural network (RNN)

• By using a convolutional neural network (CNN)

• By using a support vector machine (SVM)

Can ChatGPT be used for real-world applications?

• Yes

• No

How is ChatGPT different from other language models?

• It is larger in size

• It has a different architecture

• It has different training data

• All of the above

What are the future possibilities of ChatGPT?

• Further advancements in natural language processing

• Increased use in a wider range of real-world applications

• Further improvements in the training of these models to reduce the risk of generating biased or incorrect output

• All of the above

What is the main advantage of using a transformer architecture for language models?

• It can capture long-term dependencies in the input data

• It can handle multi-modal inputs

• It is computationally efficient

• It can handle variable-length inputs