AWS CodeWhisperer: Linear Regression Model

Study Notes

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

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.

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.

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

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.

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.