Image & Vision · GitHub ·1,312 ★

generative-ai-use-cases

Application implementation with business use cases for safely utilizing generative AI in business operations

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Details

Author
aws-samples
Category
Image & Vision
Platform
GitHub
Framework
custom
Language
typescript
Stars
1,312
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@aws-samplesamazon.com/aws

Overview

Application implementation with business use cases for safely utilizing generative AI in business operations

Quick start

git

git clone https://github.com/aws-samples/generative-ai-use-cases

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What generative-ai-use-cases can do

llmragimage
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Image — Generates or edits images from natural-language prompts.

Frequently asked questions

What is generative-ai-use-cases?
Application implementation with business use cases for safely utilizing generative AI in business operations
How do I install generative-ai-use-cases?
Use git: `git clone https://github.com/aws-samples/generative-ai-use-cases`. Full setup details on the source page linked above.
Is generative-ai-use-cases open source?
generative-ai-use-cases is published on GitHub.
What are alternatives to generative-ai-use-cases?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

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Profile data for generative-ai-use-cases is sourced from GitHub, published by aws-samples.

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