YouTube Video: Introduction to Gemini on Vertex AI

Gemini is a family of generative AI models developed by Google DeepMind that is designed for multimodal use cases.

On Google Cloud, the Gemini API in Vertex AI provides a unified interface for interacting with multimodal Gemini models, such as:

• agent-engine/: Learn how to use the Agent Engine with Gemini.
• agents/: Samples of how to build agents with Gemini.
• autocal/: Learn about Autocal with Gemini.
• batch-prediction/: Learn how to use batch prediction with Gemini.
• chat-completions/: Learn about chat completions with the Gemini API.
• code-execution/: Learn about code execution with Gemini.
• context-caching/: Learn about context caching with Gemini.
• controlled-generation/: Learn about controlled generation with Gemini.
• evaluation/: Learn how to evaluate Gemini models.
• function-calling/: Learn how to use function calling with Gemini.
• getting-started/: Get started with the Gemini API.
• global-endpoint/: Learn how to use the global endpoint for Gemini.
• grounding/: Learn about grounding with Gemini.
• logprobs/: Learn about logprobs with Gemini.
• long-context/: Learn about long context with Gemini.
• mcp/: Learn about the Multi-turn Conversation Platform (MCP) with Gemini.
• model-optimizer/: Learn about the Model Optimizer for Gemini.
• multimodal-dataset/: Learn how to work with multimodal datasets for Gemini.
• multimodal-live-api/: Learn how to use the Multimodal Live API with Gemini.
• nano-banana/: Learn about Nano Banana with Gemini.
• orchestration/: Learn about orchestration with Gemini.
• prompts/: Learn about prompt design for Gemini.
• rag-engine/: Learn about the RAG Engine with Gemini.
• reasoning-engine/: Learn about the Reasoning Engine with Gemini.
• responsible-ai/: Learn about responsible AI with Gemini.
• sample-apps/: Sample applications using the Gemini API.
• thinking/: Learn about the thinking process of Gemini.
• tuning/: Learn how to tune Gemini models.
• url-context/: Learn how to use URL context with Gemini.
• use-cases/: Explore various use cases for Gemini.

Contributions welcome! See the Contributing Guide.

Please use the issues page to provide suggestions, feedback or submit a bug report.

This repository itself is not an officially supported Google product. The code in this repository is for demonstrative purposes only.