Skip to main content

Series 3: Multimodal Context Engineering

This series explores context engineering techniques for multimodal AI systems that integrate text, images, audio, and video.

Articles in This Series​

Series Overview​

This series extends context engineering principles to multimodal AI systems, exploring how to effectively integrate and manage context across different modalities for enhanced performance.

Learning Objectives​

By the end of this series, you will:

  • Understand multimodal chain of thought reasoning
  • Master context engineering for image-text tasks
  • Know how to integrate audio context
  • Understand video context processing
  • Be able to manage multimodal agent context

Prerequisites​

  • Completion of Series 1 and 2 of this chapter
  • Understanding of multimodal AI systems
  • Experience with different media types