Introduction to Generative AI on Google Cloud
The Generative AI repository by Google Cloud serves as a comprehensive resource hub that assists users in exploring, developing, and managing generative artificial intelligence workflows using Google Cloud technologies, powered primarily by Vertex AI.
Overview
The repository provides an extensive array of notebooks, code samples, sample applications, and other assets to help users engage with generative AI. The focus is on facilitating the implementation of generative AI models and applications using Vertex AI, a potent AI development platform.
Key Components
The repository is structured into several folders, each targeting specific functionalities and use-cases of generative AI:
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Gemini: This section introduces users to Gemini through starter notebooks, practical use cases, function calls, sample applications, and more. It is a great starting point for anyone looking to dive into generative AI concepts.
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Search: This part is dedicated to Vertex AI Search, a Google-managed tool for quickly creating search engines for websites and enterprise data.
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RAG Grounding: This folder focuses on Retrieval Augmented Generation (RAG) and Grounding, providing an index of notebooks and samples specifically catering to these topics within Vertex AI.
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Conversation: Users interested in building chat bots and conversation applications can explore the Vertex AI Conversation resources here, which offer a rapid solution for web and enterprise data interactions.
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Language: Explore building from scratch using Google's language foundation models through the Vertex AI PaLM API. This is ideal for those who wish to develop customized solutions.
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Vision: This section covers various capabilities of the Imagen tool on Vertex AI, which includes image generation, editing, visual captioning, and visual question answering.
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Audio: For audio processing solutions, this folder utilizes Chirp, a version of Google’s Universal Speech Model, enabling advanced speech functionalities.
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Setup Environment: Instructions are provided for setting up the environment, including Google Cloud, the Vertex AI Python SDK, and development environments on Google Colab and Vertex AI Workbench.
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Resources: A compilation of learning materials, such as blogs and YouTube playlists, is available to support users in their generative AI journey on Google Cloud.
Related Repositories
This documentation also connects to various related repositories to expand users' capabilities further. These involve different aspects of AI like Applied AI Engineering, Marketing through AI technologies, Developer Productivity, NLP solutions, Document AI, and many others. This network of repositories offers an integrated ecosystem for AI projects.
Contribution and Support
The open-source nature of the repository welcomes contributions from the community. Users can participate by following the Contributing Guide provided in the documentation. For support, users are encouraged to utilize the issues page for feedback, suggestions, or reporting bugs.
Disclaimer
It's important to note that this repository is for demonstration purposes and is not an officially supported Google product.
Through this blend of tools, templates, and educational resources, the repository equips users to effectively harness the power of generative AI using Google Cloud’s infrastructure and capabilities.