AWS CodeWhisperer: Linear Regression Model

Module 7: Introducing Generative AI

• This module introduces generative AI, covering its definition, how it works, and AWS generative AI offerings, including Amazon CodeWhisperer.

What is Generative AI?

• Generative AI is a type of artificial intelligence that can create new content and ideas, including conversations, stories, images, videos, and music.
• It is powered by pretrained machine learning models called foundation models (FMs).
• AI-generated content can be edited to meet specific needs.

Foundation Models (FMs)

• FMs are powerful machine learning models pretrained on vast amounts of data to perform a wide range of downstream tasks.
• These tasks include text generation, data summarization, information extraction, question and answer responses, and chatbot interactions.
• FMs can also generate images, music, videos, or code.

Prompts

• A prompt is the text input into a model, which then generates a response (inference).
• The output is the result of the inference.

Amazon CodeWhisperer

• CodeWhisperer is an AWS generative AI offering that provides code suggestions, reference tracking, and security scans.
• There are two tiers of service: CodeWhisperer Individual Tier and CodeWhisperer Professional Tier.
• The Individual Tier is available at no additional cost and authenticated using an AWS Builder ID.
• The Professional Tier offers additional features, including administrative capabilities with organizational license management and organizational policy management.

Module Objectives

• Define generative artificial intelligence (AI).
• Differentiate between traditional machine learning (ML) and generative AI.
• Use a foundation model (FM) in a Jupyter notebook to generate an image from text.
• Identify the benefits of Amazon CodeWhisperer.
• Explain how CodeWhisperer works with Amazon SageMaker to speed up development of your ML application.