https://github.com/sondosaabed/introducing-generative-ai-with-aws

https://github.com/sondosaabed/introducing-generative-ai-with-aws

aws generative-ai jupyter-notebook python

Last synced: 10 days ago
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• Host: GitHub
• URL: https://github.com/sondosaabed/introducing-generative-ai-with-aws
• Owner: sondosaabed
• License: mit
• Created: 2024-04-06T00:41:39.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-04-13T00:07:39.000Z (7 months ago)
• Last Synced: 2024-04-13T21:03:16.955Z (7 months ago)
• Topics: aws, generative-ai, jupyter-notebook, python
• Language: Jupyter Notebook
• Homepage:
• Size: 482 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Introducing-Generative-AI-with-AWS

A udacity course.

# Skills

Convolutional neural networks • Amazon sagemaker • Generative AI Fluency • Prompt Engineering • supervised machine learning

# Lessons

### Lesson 1

Artificial Intelligence in Context

Explored AI's evolution and everyday impact, covering its history, societal prevalence, and industry applications.

### Lesson 2

Fundamentals of AI and ML

Introduction to AI and ML basics, covering their relationship, machine learning models, types, and approaches, plus generative AI.

### Lesson 3

Using Large Language Models (LLMs)

This lesson covers LLMs, focusing on their evolution, transformer architectures, training methods, prompt engineering, and fine-tuning.

### Lesson 4

Real-world Applications of Generative AI

Examined generative AI's societal impact, focusing on creative applications, ethical use, diversity in AI, and policy implications.

### Lesson 5 • Project

Project: Building a Domain Expert Model

In this project, fine-tune a text generation large language foundation model for domain adaptation to be a domain expert using AWS Sagemaker