Month: June 2023

Generative AI and LLMs


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.

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.


The model is not given enough context.

The model is trained on noisy or dirty data.

The model is not trained on enough data

What are foundation models in Generative AI?

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 downstream tasks, such as sentiment analysis, image captioning, and object recognition.

What is a prompt?

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.

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

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

What are large language models (LLMs)?:

An LLM is a type of artificial intelligence (AI) that can generate human-quality text. LLMs are trained on massive datasets of text and code, and they can be used for many tasks, such as writing, translating, and coding.

What are some of the challenges of using LLMs? Select three options.

They can be biased.

They can be used to generate harmful content.

They can be expensive to train.

What are some of the applications of LLMs?

LLMs can be used for many tasks, including:

  1. Writing
  2. Translating
  3. Coding
  4. Answering questions
  5. Summarizing text
  6. Generating creative content

What are some of the benefits of using large language models (LLMs)?

LLMs have many benefits, including:

  1. They can generate human-quality text.
  2. They can be used for a variety of tasks.
  3. They can be trained on massive datasets of text and code.
  4. They are constantly improved.