Use Gemini grounding to access real-time Google Search data for up-to-date, factual responses with source citations.
Guide to Gemini grounding with Google Search. Covers enabling search grounding in API calls, understanding grounding metadata and citations, dynamic retrieval thresholds, combining grounding with system instructions, use cases for real-time data (stock prices, news, weather), cost implications of grounding, and verifying grounded responses.
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.
Workflows from the Neura Market marketplace related to this Gemini resource