Create new READMEs for top level directories (GoogleCloudPlatform#2080)

holtskinner · web-flow · commit 46af9fd0c0fa · 2025-05-27T12:55:43.000-05:00
diff --git a/.cloud-build/README.md b/.cloud-build/README.md
@@ -1,4 +1,6 @@
-# This script is designed to automate the uploading of Jupyter Notebook files (`.ipynb`) from a local directory to a Google Cloud Storage (GCS) bucket
+# Notebook Testing
+
+This script is designed to automate the uploading of Jupyter Notebook files (`.ipynb`) from a local directory to a Google Cloud Storage (GCS) bucket
 
 ## Purpose
 
diff --git a/.cloud-build/clone-repo/README.md b/.cloud-build/clone-repo/README.md
diff --git a/.cloud-build/executor/README.md b/.cloud-build/executor/README.md
diff --git a/.cloud-build/gcs/README.md b/.cloud-build/gcs/README.md
@@ -1,4 +1,6 @@
-# This script is designed to automate the uploading of Jupyter Notebook files (`.ipynb`) from a local directory to a Google Cloud Storage (GCS) bucket
+# GCS Upload
+
+This script is designed to automate the uploading of Jupyter Notebook files (`.ipynb`) from a local directory to a Google Cloud Storage (GCS) bucket
 
 ## Purpose
 
diff --git a/.cloud-build/github-issue/README.md b/.cloud-build/github-issue/README.md
diff --git a/.cloud-build/linting/README.md b/.cloud-build/linting/README.md
diff --git a/audio/README.md b/audio/README.md
@@ -0,0 +1,11 @@
+# Audio Processing
+
+This directory contains resources and examples related to audio processing on Google Cloud.
+
+It includes materials for various audio tasks, such as:
+
+- **Speech Recognition**: Converting spoken language into text.
+- **Speech Synthesis**: Generating human-like speech from text.
+- Other audio analysis and manipulation tools and techniques.
+
+Explore the subdirectories for specific examples and use cases.
diff --git a/genkit/README.md b/genkit/README.md
@@ -1,8 +1,12 @@
-# Genkit
+# Genkit with Google Cloud
 
-This repository contains solutions using [Firebase Genkit](https://firebase.google.com/docs/genkit).
+This directory contains examples and solutions demonstrating the use of [Firebase Genkit](https://firebase.google.com/docs/genkit) integrated with Google Cloud services.
+
+Genkit is an open-source framework that helps developers build, deploy, and manage AI-powered applications. The examples here showcase how Genkit can be leveraged for various generative AI tasks on Google Cloud.
 
 ## Directory Structure
 
-- **generate-synthetic-database/**: This directory contains the source code for a Google Cloud Function that generates a synthetic database.
-- **postcard-generator/**: This directory contains the source code for a Next.js app that generates postcard images based on a journey
+- **generate-synthetic-database/**: Contains the source code for a Google Cloud Function that uses Genkit to generate a synthetic database.
+- **postcard-generator/**: Features a Next.js application that utilizes Genkit to generate postcard images based on a user's journey.
+
+Explore these examples to understand how to build robust AI applications with Genkit and Google Cloud.
diff --git a/multimodal-dataset/README.md b/multimodal-dataset/README.md
@@ -0,0 +1,11 @@
+# Multimodal Datasets
+
+This directory contains resources and examples related to multimodal datasets on Google Cloud.
+
+Multimodal datasets are collections of data that involve multiple types of information, such as images, text, audio, and video. The materials in this directory may include:
+
+- Notebooks demonstrating how to work with specific multimodal datasets.
+- Information on accessing and utilizing public or sample multimodal datasets.
+- Examples of preprocessing and preparing multimodal data for use in machine learning models.
+
+Explore the contents to learn more about leveraging multimodal datasets for your generative AI projects.
diff --git a/partner-models/README.md b/partner-models/README.md
@@ -0,0 +1,5 @@
+# Partner Models
+
+This directory contains models and resources provided by Google Cloud partners.
+
+These models can be integrated with Vertex AI and other Google Cloud services to enhance your machine learning projects. Each subdirectory typically corresponds to a specific partner or model.
diff --git a/translation/README.md b/translation/README.md
@@ -0,0 +1,5 @@
+# Translation
+
+This directory contains resources related to translation models and tools on Google Cloud.
+
+You can find examples, notebooks, and scripts demonstrating how to use Vertex AI Translation services and models for various translation tasks.
diff --git a/workshops/README.md b/workshops/README.md
@@ -0,0 +1,12 @@
+# Workshops
+
+This directory contains materials and resources for various workshops related to Google Cloud generative AI.
+
+The subdirectories include hands-on labs, code examples, and presentations covering different topics and technologies.
+
+Explore the workshop materials to learn about:
+
+- AI Agents
+- Question Answering Operations (QA-Ops)
+- Retrieval Augmented Generation Operations (RAG-Ops)
+- And more.
