gemini — Awesome Gemini
Browse 58 gemini tagged resources curated in Awesome Gemini, with AI-powered ratings and reviews.
- Google AI StudioGoogle AI Studio is Google's official web-based tool for testing and developing with Gemini models, directly relevant for developers building with the Gemini API.
- gemini-androidA well-maintained, educational Android demo project showcasing integration of the Gemini API with the Stream Chat SDK for Jetpack Compose. It is not a general-purpose Android library but a specific implementation example.
- Gemini for Google CloudThis is the official landing page and product hub for Gemini for Google Cloud, serving as the primary gateway for documentation, pricing, and service details related to Google Cloud's Gemini integration.
- Documentation Home Page - Gemini for Google CloudThis is the official documentation hub for Gemini on Google Cloud, a primary reference for developers building with Gemini models on GCP infrastructure.
- Product Overview - Gemini for Google CloudThis is Google's official overview page for Gemini on Google Cloud, providing a high-level entry point to the product suite and documentation, not a technical implementation guide.
- Gemini in DatabasesThis is the official Google Cloud documentation page for Gemini's integration with database services. It is a primary source for understanding the feature but is not a tool or library itself.
- Gemini in LookerThis is official Google Cloud documentation for using Gemini within the Looker business intelligence platform. It is a highly relevant and authoritative source for developers integrating Gemini's AI capabilities into Looker dashboards and workflows.
- Gemini in Colab EnterpriseThis is the official documentation for Gemini integration within Google Colab Enterprise, a managed notebook environment for AI development on Google Cloud. It's a relevant, high-quality resource for developers using this specific enterprise tool.
- Gemini in BigQueryThis is Google Cloud's official documentation for integrating Gemini models directly into BigQuery for data analysis and SQL generation. It is a core resource for developers building Gemini-powered analytics pipelines.
- Gemini usage loggingThis is the official Google Cloud documentation page for logging Gemini usage, essential for monitoring and auditing in production environments.
- Set up Gemini Code Assist for a projectThis is a Google Cloud official documentation page for setting up Gemini Code Assist for projects, providing step-by-step instructions for integrating Gemini into development workflows.
- Configure VPC Service ControlsThis is a Google Cloud documentation page explaining how to configure VPC Service Controls specifically for Gemini API usage, which is relevant for enterprise security setups.
- Capture Gemini Code Assist metrics via Cloud LoggingThis is a Google Cloud official documentation page that explains how to capture and analyze usage metrics for Gemini Code Assist via Cloud Logging, useful for teams monitoring adoption and performance.
- Set up Gemini in BigQueryThis is the official Google Cloud documentation for setting up Gemini in BigQuery, providing direct, step-by-step configuration instructions for enabling and using Gemini features within BigQuery.
- Try Gemini in Cloud ConsoleThis is Google's official quickstart documentation for using Gemini within the Google Cloud Console, providing a direct, interactive path to try the model without code.
- Analyze and optimize Google Cloud resourcesThis is an official Google Cloud documentation page for using Gemini Cloud Assist to analyze and optimize cloud resources. It is directly relevant to the Gemini ecosystem but focuses on infrastructure optimization rather than core API or application development.
- Code with Gemini Code AssistThis is an official Google Cloud documentation page for Gemini Code Assist, focusing on writing code with the tool. It provides direct guidance on using the AI coding assistant within Google Cloud's development environment.
- Cloud Spanner - Write SQL with Gemini assistanceThis is an official Google Cloud documentation page explaining how to use Gemini assistance for writing SQL queries within Cloud Spanner. It is highly relevant but is a specific feature guide, not a standalone tool or library.
- Certifications for Gemini for Google CloudThis is an official Google Cloud documentation page outlining certification paths for Gemini-related services. It is highly relevant for users planning cloud infrastructure or compliance strategies involving Gemini.
- Quotas and limits | Gemini for Google CloudThis is a foundational reference page for understanding Gemini API quotas and limits, essential for production planning and cost management.
- Locations | Gemini for Google CloudThis is the official Google documentation page detailing the regional availability of Gemini for Google Cloud services, essential for planning deployments and understanding service limitations.
- Gemini for Google Cloud - Release NotesThis is the official Google Cloud release notes page for Gemini services, which is a core tracking resource for Gemini API updates and changes.
- Gemini Code Assist - Release NotesThis is the official Google Cloud documentation page containing release notes for the Gemini Code Assist service, which is highly relevant for tracking updates and features. It is a factual, low-noise resource, but its primary value is informational rather than providing reusable code or libraries.
- Write Better PromptsThis is Google's official documentation on prompt engineering techniques specifically for Gemini models. It is a foundational resource for anyone learning to interact effectively with Gemini via API or other interfaces.
- Gemini for Application DevelopersA Google Cloud Skills Boost lab focused on building applications with the Gemini API, covering practical implementation steps for developers.
- Gemini for Cloud ArchitectsThis is a Google Cloud Skills Boost learning path focused on Gemini for Cloud Architects, which directly teaches how to use Gemini in a cloud architecture context.
- Gemini for end-to-end SDLCThis is a Google Cloud Skills Boost lab focused on applying Gemini AI across the entire Software Development Lifecycle (SDLC), offering practical, hands-on experience.
- Code Customization with Gemini Code Assist EnterpriseA Google Codelab providing hands-on instructions for customizing Gemini Code Assist Enterprise, suitable for developers seeking practical implementation guidance.
- Building Applications in the AI EraThis is an official Google Codelab for building applications using Google Cloud AI services, likely including Gemini. It provides a structured, hands-on learning path.
- Troubleshoot with Gemini CodeLabThis is an official Google Developers Codelab focused on troubleshooting with Gemini for Google Cloud. It provides a structured, step-by-step tutorial that is directly relevant to the Gemini API ecosystem.
- A Tour of Gemini Code Assist (formerly Duet AI) for DevelopersThis is a Google Codelab tutorial guiding developers through using Gemini Code Assist (formerly Duet AI) within a development environment, focusing on code completion and chat features.
- Using Gemini Code Assist to explore and enhance AI Summarization Jump Start SolutionThis is a Google Codelab that demonstrates using Gemini Code Assist to work with an AI Summarization Jump Start Solution, focusing on practical exploration and enhancement of an existing codebase.
- How to use Duet AI to explore and enhance an existing applicationThis Google Codelab provides a hands-on workshop for using Duet AI (now Gemini for Google Cloud) to explore and enhance an existing application. It is a structured, step-by-step tutorial directly hosted on Google's official domain.
- gemini-skillsThis is an official Google repository providing skills and examples for using the Gemini API and SDK, with recent activity and strong community validation.
- gemini-api-php/clientThis is a PHP client for the Google Gemini API, offering direct API access for PHP developers. Its relevance is clear, but its maintenance status and feature completeness require verification.
- Gemini AI Ruby GemA Ruby gem for accessing Gemini APIs via Vertex AI, Generative Language API, or AI Studio. It appears to be a focused, community-maintained wrapper, but has no recent commits and a small star count.
- Exploring Google's Gemini AI: A Hands-On Guide to Leveraging the Latest Large Language ModelA Medium blog post providing a hands-on introductory guide to Google's Gemini AI, aimed at developers seeking to explore its capabilities. Its inclusion in a curated list suggests initial community validation, but it requires verification for ongoing maintenance and technical depth.
- Google Gemini Pro AI Integration With React (Vite) Tutorial In Just 5 MinA Medium tutorial demonstrating how to integrate Google Gemini Pro AI into a React (Vite) project, suitable for developers seeking a quick, hands-on introduction.
- Docs OverviewThis is an official Google Cloud documentation page for Gemini's 'Cloud Assist' feature, providing a high-level overview of its capabilities within the Gemini for Google Cloud product suite.
- Gemini for Data Scientists and AnalystsThis is a Google Cloud Skills Boost course for data scientists and analysts, hosted on Google's official platform, but it requires a paid subscription for full access.
- gemini-interactions-api-sdkThis is a Java SDK for the Gemini Interactions API, likely a developer tool for implementing conversational or interactive AI features. Its low star count suggests it's a newer or niche project.
- agent-builder-DSLA domain-specific language for declaratively building intelligent agents using the Google Gemini API, which automatically generates Python code to handle API calls, memory, and function execution.
- Gemini PHP LibraryThis is a PHP client library for the Gemini API, useful for PHP developers integrating Gemini features into their applications.
- Meet Gemini: Google's Largest and Most Powerful AI ModelThis is a Towards Data Science blog article introducing Google's Gemini model. It provides a high-level overview and is a resource for learning about the model, not for implementation.
- Google Gemini AI Masterclass: The Ultimate Guide NEW 2024A Udemy course focused on Gemini Pro for building generative AI applications, suitable for structured learning but may be outdated given its 2024 branding.
- Google Bard AI: From Beginner To Expert with Bard & Gemini | UdemyThis is a paid Udemy course that provides beginner-to-expert training on Google Bard AI and Gemini. It is directly relevant for learning Gemini API usage and workflows but is not a technical resource like an SDK or tool.
- Getting Started with Gemini AI | 2 mins | PacktThis is a short introductory article from Packt on getting started with Gemini AI, likely a tutorial or overview piece.
- Gemini: A Family of Highly Capable Multimodal ModelsThis is the official technical report for the Gemini model family, providing foundational research details but no practical implementation resources like code or API examples.
- An In-depth Look at Gemini's Language AbilitiesThis is an arXiv research paper (2312.11444) providing a technical evaluation and comparison of Gemini's language abilities against the GPT series. It is highly relevant for understanding model capabilities but is a research document, not a developer resource.
- Audit LoggingThis is Google Cloud's official documentation for audit logging with Gemini for Google Cloud, providing guidance on tracking and monitoring Gemini API usage within cloud environments.
- Setup Gemini Cloud AssistThis is a setup guide for Gemini Cloud Assist on Google Cloud, a resource focused on initial configuration rather than a tool or SDK.
- How Gemini worksThis is an official Google Cloud documentation page explaining how Gemini models work, suitable for foundational understanding.
- Gemini for Google Cloud - Learning PathA curated Google Cloud Skills Boost learning path focused on practical applications of Gemini for Google Cloud across various engineering tasks. It appears to be a structured educational resource directly from Google.
- Gemini for Network EngineersThis is an official Google Cloud Skills Boost course titled 'Gemini for Network Engineers'. It provides a structured learning path for network professionals to integrate Gemini into their workflows.
- Gemini for Security EngineersThis is a Google Cloud Skills Boost learning path focused on using Gemini for security engineering tasks, offering structured, hands-on training directly from Google.
- Gemini for DevOps EngineersThis is an official Google Cloud Skills Boost course focused on applying Gemini to DevOps workflows, directly relevant to learning practical Gemini API usage in a specific professional context.
- Gemini API by Google - UdacityThis is a Udacity course on the Gemini API, which is an educational resource for learning how to use the API.
- llmproxy这是一个基于 Cloudflare Workers 的开源 LLM API 反向代理，专门为 Gemini 等平台提供 OpenAI API 兼容接口，降低了调用门槛。