genai-for-marketing and genai-apptemplates-googlecloud

These are ecosystem siblings—both are template repositories designed to accelerate generative AI development on Google Cloud, with the former offering marketing-specific examples and the latter providing broader sample applications for various use cases.

Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 8/25
Maturity 16/25
Community 20/25
Stars: 470
Forks: 143
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 54
Forks: 26
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
Stale 6m No Package No Dependents

About genai-for-marketing

GoogleCloudPlatform/genai-for-marketing

Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.

This project helps marketing teams streamline their daily tasks using Google Cloud's generative AI. It takes marketing data, natural language questions, and content requests to produce marketing insights, SQL queries, trend analyses, and ready-to-use marketing materials like blog posts and social media content, even integrating with Google Workspace. It's designed for marketing managers, analysts, and content creators.

marketing-automation content-creation market-research marketing-analytics campaign-management

About genai-apptemplates-googlecloud

rominirani/genai-apptemplates-googlecloud

Sample Applications to kickstart Generative AI Application Development on Google Cloud.

This project provides ready-to-use application templates that help developers quickly build generative AI applications on Google Cloud. It takes foundational AI models from Vertex AI PaLM and integrates them into common web frameworks or services like Flask, Streamlit, or Cloud Functions. The output is a deployable application that can perform tasks like chatbots, text summarization, or code generation. This is for software developers and engineers who want to integrate Google's large language models into their applications.

AI-application-development cloud-deployment chatbot-development text-summarization API-integration

Scores updated daily from GitHub, PyPI, and npm data. How scores work