GenAI

Question 1

Define Artificial Intelligence

Answer 1

A non-human program or model (aka computer) that can SOLVE sophisticated tasks.

Question 2

Define Machine Learning. What happens when a model is trained?

Answer 2

A subset of AI, it is a program or system that TRAINS a model from input data.

A trained model can predict or produce new data sets in the context of original inputs.

The more data provided, the better prediction/output.

Question 3

Define LLM. What are its use cases?

Answer 3

A TYPE of machine learning that is trained on massive amounts of TEXT data.

Use case: text generation, language translation, and writing different types of creative content.

Think ChatGPT + Bard

Question 4

Define GenAI. What is its focus?

Answer 4

A TYPE of machine learning that produces NEW data similar to the training data.

GenAI’s focus is to produce new content rather than analyze existing content.

Use case: text, image, video, audio

Question 5

Are LLMs and GenAI the same? Why?

Answer 5

No.

Why?

Not all LLMs are generative – translation, summarization, and question answering.

GenAI is a SUBSET of LLMs

Question 6

What is a model garden?

Question 7

Define Deep Learning.

Question 8

Define Neural Networks

Question 9

Define Foundational Models, what are their purpose?

Answer 9

Foundational models are massive data sets. They are used to train models to perform a variety of functions.

Think PaLM, Codey, Imagen, Chirp