Unit 2 Introduction to Artificial Intelligence

Question 1

What is the AI workflow?

Answer 1

An AI workflow, often referred to as a machine learning workflow or data science workflow, is a sequence of tasks and processes that data scientists, machine learning engineers, and AI practitioners follow to develop, train, deploy, and maintain artificial intelligence models.

Question 2

How does the deep learning workflow operate

Answer 2

The deep learning workflow involves training the dataset through the neural network, learning a new capability from existing data, optimizing the trained model, and applying the capability to
new data.

Question 3

What are the common challenges enterprises face when adopting AI?

Answer 3

Some of the challenges include exploding model sizes and complexity, the need for diverse AI model architectures, performance and scalability, and taking AI to production.

Question 4

What are the key differences in the realm of AI?

Answer 4

The key differences include the use of large datasets, sophisticated statistical methods, neural networks, and transformer models to analyze, predict, learn, and generate new and unique
content.