gemini-2.0-flash-001
Model
gemini-2.0-flash-001is used in 11 notebook(s) in this brain.
Concepts: Agent Engine · Agents & ADK · Applied Use Cases · Audio & Speech · Evaluation · Function Calling & Tools · Gemini Capabilities · Getting Started · MLOps & Deployment · Prompt Engineering · RAG & Grounding · Responsible AI · Tuning & Customization · Vision
Notebooks
- Create a Multi-Speaker Podcast with Gemini 2.0 & Text-to-Speech — Generates a two-speaker podcast from a PDF using Gemini JSON output and Text-to-Speech MP3 synthesis.
- Intro to Model Context Protocol (MCP) integration with Vertex AI — Shows how to connect Gemini on Vertex AI to custom and prebuilt MCP servers.
- Intro to Agent Platform Multimodal Datasets — Builds Agent Platform multimodal datasets for Gemini tuning validation, resource estimates, tuning, and batch prediction.
- Vertex Prompt Optimizer Notebook UI (Preview) — Shows how to configure, run, and inspect Vertex AI Prompt Optimizer jobs from a notebook UI.
- Responsible AI with Gemini API in Vertex AI: Safety ratings and thresholds — Shows how to inspect Gemini safety ratings and set stricter safety thresholds in Vertex AI.
- Supervised Fine Tuning with Gemini 2.0 Flash for change detection using the Google Gen AI SDK — Fine-tunes Gemini 2.0 Flash on paired images for spot-the-difference change detection.
- Supervised fine-tuning with Gemini 2.0 Flash for Q&A using the Google Gen AI SDK — Fine-tunes Gemini 2.0 Flash on SQuAD Q&A with Vertex AI supervised tuning and evaluates EM/F1 gains.
- GraphRAG on Google Cloud With Spanner and Vertex AI Agent Engine — Builds a GraphRAG Q&A agent with Spanner Graph, Gemini, ADK, and Vertex AI Agent Engine.
- Video Captioning with Gemini — Uses Gemini on Vertex AI to generate rich multimodal captions from a video in Cloud Storage.
- Gemini Enterprise custom agent with prompt management — Builds a Gemini Enterprise ADK SQL agent using Vertex AI Prompt Management and schema file context.
- Tutorial for Running Prompt Management and Evaluation — Runs prompt management, MathVista evaluation, and Vertex AI prompt optimization in a Streamlit app.
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