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 Duration 14 hours

Course Outline

Foundations of Multimodal LLMs in Vertex AI

  • Overview of multimodal features available in Vertex AI
  • Insight into Gemini models and their supported data modalities
  • Real-world applications in enterprise and research settings

Establishing the Development Environment

  • Configuring Vertex AI settings for multimodal operations
  • Managing datasets that span multiple data types
  • Practical exercise: Initializing the environment and preparing datasets

Extended Context Windows and Advanced Reasoning

  • Exploring the mechanics of long-context workflows
  • Applications in strategic planning and complex decision-making
  • Practical exercise: Executing long-context analysis tasks

Architecting Cross-Modal Workflows

  • Synthesizing text, audio, and image analysis
  • Orchestrating multimodal stages within data pipelines
  • Practical exercise: Constructing a comprehensive multimodal pipeline

Optimizing Gemini API Configurations

  • Setting up multimodal input and output structures
  • Enhancing inference speed and operational efficiency
  • Practical exercise: Adjusting Gemini API parameters for optimal results

Advanced Implementations and Integrations

  • Developing interactive multimodal agents and virtual assistants
  • Incorporating third-party APIs and external tools
  • Practical exercise: Building a complete multimodal application

Performance Evaluation and Refinement

  • Conducting tests on multimodal model performance
  • Applying metrics for accuracy, alignment, and drift detection
  • Practical exercise: Assessing multimodal workflow efficacy

Recap and Future Directions

Requirements

  • Strong command of Python programming
  • Prior experience in developing machine learning models
  • Working knowledge of multimodal data types, including text, audio, and images

Target Audience

  • AI researchers
  • Senior-level developers
  • Machine learning scientists

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