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

Google Cloud, AI    |    Intermediate
  • 12 videos | 1h 39m 4s
  • Earns a Badge
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.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Generate embeddings and compute cosine similarity between embeddings
    Perform semantic text search and clustering using word embeddings
    Generate and compare image embeddings using multimodal embedding models
    Recognize how grounding and function calling enhance model responses
    Configure external tools for function calls and get natural language responses from the model
  • Integrate a model with the ticketmaster api to get real api responses to model requests
    Outline how to use grounding to make model responses more accurate and relevant
    Ground gemini model responses with google search results
    Use a data store and search app to ground model responses using private data
    Ground gemini models in chat mode and clean up grounding resources
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 6s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 28s
    Learn how to generate embeddings and compute cosine similarity between embeddings. FREE ACCESS
  • Locked
    3.  Performing Semantic Text Search and Clustering
    13m 32s
    In this video, find out how to perform semantic text search and clustering using word embeddings. FREE ACCESS
  • Locked
    4.  Generating Image Embeddings
    5m 38s
    Discover how to generate and compare image embeddings using multimodal embedding models. FREE ACCESS
  • Locked
    5.  Grounding and Function Calling
    9m 43s
    Through this video, you will be able to recognize how grounding and function calling enhance model responses. FREE ACCESS
  • Locked
    6.  Configuring for Function Calling with Simulated Responses
    9m 3s
    In this video, you will learn how to configure external tools for function calls and get natural language responses from the model. FREE ACCESS
  • Locked
    7.  Performing Function Calling with Real APIs
    13m 5s
    Find out how to integrate a model with the Ticketmaster API to get real API responses to model requests. FREE ACCESS
  • Locked
    8.  Optimize Models on Custom Data with Grounding
    10m 14s
    After completing this video, you will be able to outline how to use grounding to make model responses more accurate and relevant. FREE ACCESS
  • Locked
    9.  Grounding Model Responses with Google Search
    8m 57s
    During this video, discover how to ground Gemini model responses with Google Search results. FREE ACCESS
  • Locked
    10.  Grounding Model Responses on Private Data
    12m 7s
    In this video, learn how to use a data store and search app to ground model responses using private data. FREE ACCESS
  • Locked
    11.  Grounding Chat Mode Interactions and Cleaning Up Resources
    5m 50s
    In this video, find out how to ground Gemini models in chat mode and clean up grounding resources. FREE ACCESS
  • Locked
    12.  Course Summary
    2m 19s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course Google Professional Cloud Architect: Analyzing & Defining Technical Processes
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Course Generative AI on GCP: Harnessing Generative AI with Vertex AI
Rating 4.8 of 12 users Rating 4.8 of 12 users (12)
Course Google Professional DevOps Engineer: Performance Tuning & Cost Optimization
Rating 4.5 of 2 users Rating 4.5 of 2 users (2)