tcs generative ai e0 assessment answers

Why is controlling the output of generative Al systems important?

O To increase the efficiency of Al models

To reduce computational costs

O To ensure the accuracy of the outpu

To prevent the generation of harmful or offensive content

Can I generate code using Generative Al models? Judge its True or False

FALSE

TRUE

Which characteristic is common to closed source large language models?

Open licensing

Publicly available source code

Proprietary technology

Community contributions

Generative Al models are statistical models that learn to generate new data by analyzing existing data. Say True or False

O TRUE

O FALSE

When prompting an LLM for a text generation task, what is the benefit of providing context or background information in the prompt?

It adds unnecessary complexity to the prompt

It helps the LLM understand the context and generate more relevant content

It confuses the LLM and leads to incorrect responses

It has no impact on the LLM's performance

Which of the following is a disadvantage of open source large language models?

Lack of transparency

Limited customization

Proprietary licensing

Potential for less controlled use

What is one challenge in ensuing fairness in generative Al?

Unbiased model training

Using diverse and representative training data

Ignoring model biases

Focusing only on accuracy metrics

Choose the Generative Al models for language from the following.

O Generative Adversarial Networks

Diffusion models

Generative Pre-trained Transformer

None of the above

Choose the Generative Al models for language from the following.

O Generative Adversarial Networks

Diffusion models

Generative Pre-trained Transformer

None of the above

Which of the following statements is true about open source large language models?

O They cannot be modified by users.

Their development is typically controlled by one company.

They allow for community contributions and improvements.

O They are genelly proprietary in nature.

In prompt engineering, why is it important to specify the desired format or structure of the response?

OLLMs are not capable of generating responses in specific formats.

It helps guide the LLM to produce responses that match the desired criteria

Specifying the format is unnecessary and may limit the LLM's creativity

LLMs are automatically trained to follow specific response formats

Question No. 11

A news agency wants to use Al to create unique news articles based on a given topic. This is an example for which kind of generative Al use case?

Question and Answers Generation

Content Generation.

Content Summarization

All the above

ChatGPT

Content Generation

What does "one-shot" prompting refer to in the context of LLMs?

Providing a single prompt or query to the Lat for generating responses

Training the LLM using only one example of the desired task.

Using one LLM model for multiple tasks simultaneously.

Prompting the LLM with a single word for generating complex responses

ChatGPT

"One-shot" prompting refers to providing a single prompt or query to the LLM for generating responses. It involves giving the model all the necessary context and information in a single input to produce the desired output.

OpenAl's Generative Al Chatbot, can be used for?

Helping with coding, learning, and design.

Exploring Technology

Generating ideas

All are correct

Which of the following is a characteristic of a foundation model?

It is typically trained on a small dataset

It is specialized for a specific task.

It is trained on a large and diverse dataset

It performs well out-of-the-box without fine-tuning.

What is one way large language models can help in daily life?

Improving writing style

Helping in writing in blogs

helping in understanding large PDFs

All of the above

Which is not a limitation of using closed source LLMS?

There can be data privacy concerns preventing you from sharing data with the LLM creators Consistently using closed source LL.Ms for various use cases can incur high costs

Closed-source LLMs may have limitations in terms of customization fine-tuning for specific applications or domains

Closed source LLMs are always less accurate 

Closed source LLMs are not always less accurate and perform poorly compared to open-source LLMs. 

Which is not a limitation of using closed source LLMS?

There can be data privacy concerns preventing you from sharing data with the LLM creators

Consistently using closed source LLMs for various use cases can incur high costs

O Closed-source LLMs may have limitations in terms of customization and fine-tuning for specific applications or domains

Closed source LLMs are always less accurate and perform poorly compared to open-source LLMs

ChatGPT

Closed source LLMs are not always less accurate and perform poorly compared to open-source LLMs. Therefore, the statement "Closed source LLMs are always less accurate and perform poorly compared to open-source LLMs" is not a limitation of using closed source LLMs.

Answer which option?

ChatGPT

The option that is not a limitation of using closed source LLMs is:

Closed source LLMs are always less accurate and perform poorly compared to open-source LLMs

Which of the following is a closed source large language model?

O GPT-3

OT5

O OpenLM

All of the above

ChatGPT

The closed source large language model from the options provided is:

OT5

Question No. 18

Which of the following is a Generative Al Application?

A company wants to use Al to generate personalized meal plans based on individual dietary preferences

A teacher wants to use Al to generate questions for quizzes based on a given topic

A language teacher wants to create Al-based exercises to help students learn new vocabulary

All the above

ChatGPT

All of the above options are examples of Generative AI applications:

A company using AI to generate personalized meal plans based on dietary preferences involves generative AI in content generation.

A teacher using AI to generate quiz questions based on a given topic utilizes generative AI for question generation.

A language teacher creating AI-based exercises to help students learn vocabulary is another example of generative AI in educational content generation.

Answer which option?

ChatGPT

All of the above

What is one major ethical concern in the use of generative Al?

Efficient data storage

Model interpretability

Creation of biased content

Faster model training

ChatGPT

Creation of biased content

Which of the following is a use case for traditional Al?

Generating art from text descriptions

Predicting stock market trends

Translatirig between languages

Creating realistic facial images