Generative AI

Question: What is Generative AI ?

Ans: Generative AI is a type of Artificial intelligence technology that can produce various type of content Including text , Imagery audio and synthetic data. AI is a discipline like physics , AI is a branch of computer science that deals with the creation of intelligent agents which are systems that can reason and learn and act autonomously. essentially AI has to do the theory and methods to build machines that thinks and acts like humans .

Mahine Learning :

in this discipline we have machine learning which is a subfield of AI it is a program  of system that trains a model from input data. Machine learning gives computer the ability to learn without explicit programming.. 

        Two of the most common classes of machine learning models are >>>

1) Unsupervised ML Model

2) Supervised ML Model

The key differernt between is that with supervised models we have labels label data is data that comes with a tag like a name a type or a number .. unlabeld data is data that comes with no tag

Unsupervised Data ...

 

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1.

What are foundation models in Generative AI?

A foundation model is a small AI model pretrained on a small quantity of data that was "designed to be adapted” (or fine-tuned) to a wide range of downstream tasks, such as sentiment analysis, image captioning, and object recognition.

A foundation model is a large AI model both post and pre-trained on a vast quantity of data that was "designed to be adapted” (or fine-tuned) to a wide range of downstream tasks, such as sentiment analysis, image captioning, and object recognition.

A foundation model is a large AI model post-trained on a vast quantity of data that was "designed to be adapted” (or fine-tuned) to a wide range of downstream tasks, such as sentiment analysis, image captioning, and object recognition.

checkA foundation model is a large AI model pretrained on a vast quantity of data that was "designed to be adapted” (or fine-tuned) to a wide range of downstream tasks, such as sentiment analysis, image captioning, and object recognition.

A foundation model is a large AI model pretrained on a vast quantity of data that was "designed to be adapted” (or fine-tuned) to a wide range of upstream tasks, such as sentiment analysis, image captioning, and object recognition.

Correct! A foundation model is a large AI model pre-trained on a vast quantity of data that is "designed to be adapted” (or fine-tuned) to a wide range of downstream tasks, such as sentiment analysis, image captioning, and object recognition.

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2.

What is a prompt?

A prompt is a short piece of text that is given to the small language model (SLM) as input, and it can be used to control the output of the model in many ways.

A prompt is a short piece of text that is given to the large language model as input, and it can be used to control the input of the model in many ways.

closeA prompt is a short piece of code that is given to the large language model as input, and it can be used to control the output of the model in many ways.

A prompt is a short piece of text that is given to the large language model as input, and it can be used to control the output of the model in many ways.

A prompt is a long piece of text that is given to the large language model as input, and it cannot be used to control the output of themodel.

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3.

Hallucinations are words or phrases that are generated by the model that are often nonsensical or grammatically incorrect. What are some factors that can cause hallucinations? Select three options.

checkThe model is trained on noisy or dirty data.

A correct option has been selected.

checkThe model is not given enough context.

A correct option has been selected.

checkThe model is not trained on enough data

A correct option has been selected.

The model is trained on too much data.

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4.

What is Generative AI?:

checkGenerative AI is a type of artificial intelligence (AI) that can create new content, such as text, images, audio, and video. It does this by learning from existing data and then using that knowledge to generate new and unique outputs.

Generative AI is a type of artificial intelligence (AI) that can only create new content, such as text, images, audio, and video by learning from new data and then using that knowledge to predict a classification output.

Generative AI is a type of artificial intelligence (AI) that can create new content, such as discrete numbers, classes, and probabilities. It does this by learning from existing data and then using that knowledge to generate new and unique outputs.

Generative AI is a type of artificial intelligence (AI) that can only create new content, such as text, images, audio, and video by learning from new data and then using that knowledge to predict a discrete, supervised learning output.

Correct! Generative AI is a type of artificial intelligence (AI) that can create new content, such as text, images, audio, and video. It does this by learning from existing data and then using that knowledge to generate new and unique outputs.

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5.

What is an example of both a generative AI model and a discriminative AImodel?

A generative AI model could be trained on a dataset of images of cats and then used to cluster images of cats. A discriminative AI model could be trained on a dataset of images of cats and dogs and then used to predict as either cats or dogs.

A generative AI model does not need to be trained on a dataset of images of cats and then used to generate new images of cats, because the images were already generated by using AI. A discriminative AI model could be trained on a dataset of images of cats and dogs and then used to classify new images as either cats or dogs.

checkA generative AI model could be trained on a dataset of images of cats and then used to generate new images of cats. A discriminative AI model could be trained on a dataset of images of cats and dogs and then used to classify new images as either cats or dogs.

A generative AI model could be trained on a dataset of images of cats and then used to classify new images of cats. A discriminative AI model could be trained on a dataset of images of cats and dogs and then used to predict new images as either cats or dogs.

Correct! A generative AI model could be trained on a dataset of images of cats and then used to generate new images of cats. A discriminative AI model could be trained on a dataset of images of cats and dogs and then used to classify new images as either cats or dogs.