68 guides available in the Gemini directory
Step-by-step written guides covering setup, configuration, best practices, and advanced topics. Each guide is structured to take you from beginner to proficient.
A fictional internal memo about an unnamed search giant giving up on training its own models and slapping a new shell on someone else's open-source release.
一则关于一家不愿透露姓名的搜索巨头决定放弃自研、把别人的开源模型换个壳当旗舰的虚构内部备忘录。
tutorialI kept running into the same problem while using AI tools. A conversation would begin with a simple...
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tutorialThis is a submission for Weekend Challenge: Passion Edition What I Built Spark is an...
tutorialThis is a submission for Weekend Challenge: Passion Edition What I Built resolvo is an...
This is a submission for the Weekend Challenge: Passion Edition Ember: tend the things...
tutorialThis is a submission for Weekend Challenge: Passion Edition What I Built FIFA Jumbotron...
tutorialWe (at DEV and MLH) are covering AI Engineer's World Fair by printing a physical newspaper called...
I integrated an AI chat panel directly into PanelControl, the internal commercial team management...
Security Event Notification & Threat Response Intelligence SENTRI is an AI-powered L1/L2 SOC...
Master Google AI Studio for prompt design, model testing, API key generation, and building AI-powered applications with Gemini models.
Implement function calling with the Gemini API to give AI access to real-time data and external tools.
Learn to use Gemini Deep Research effectively for multi-source analysis, report generation, and in-depth topic exploration.
Create personalized AI assistants with Gemini Gems using custom system instructions, persona design, and task-specific configurations.
Leverage Gemini's multimodal capabilities for image analysis, video understanding, audio transcription, and cross-modal reasoning.
Master NotebookLM for research, studying, and content creation with source grounding, audio overviews, and collaborative notebooks.
Use Gemini AI across Gmail, Docs, Sheets, Slides, and Meet for drafting, summarizing, analyzing data, and creating presentations.
Advanced Gemini API techniques covering response streaming, context caching for cost reduction, and managing the 2M token context window.
Deploy Gemini models in production with Vertex AI, covering enterprise security, SLAs, model customization, and scalable infrastructure.
Set up and use Gemini CLI for code analysis, generation, and repository-wide AI assistance from the terminal.
Write effective system instructions for Gemini API and custom Gems that control behavior, tone, format, and safety boundaries.
Use Gemini Canvas to prototype, build, and iterate on interactive web applications with real-time preview and AI-assisted editing.
Use the google-generativeai Python SDK to build AI applications with Gemini, including chat, embeddings, and multimodal features.