LLMs on Google Cloud: Embeddings, Function Calling, & Grounding with Gemini

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Embeddings, function calling, and grounding with Gemini models empower developers to create highly accurate and context-aware AI applications. In this course, learn how to build and use embeddings for semantic text search, apply clustering techniques, and generate image embeddings for visual data. Next, explore grounding and function calling, integrating API calls into model responses, implementing function calling with simulated responses, and connecting models to live data sources. Finally, discover advanced grounding techniques to optimize models, use tools to index and access private data, explore grounded models in freeform and chat modes, and implement cleanup processes to manage resources. By the end of this course, you will be able to outline the key concepts of embeddings, function calling, and grounding techniques for advanced AI applications.