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• Developing Generative AI Applications

  Developing Generative AI Applications

  Content Type
  Learning path

  Duration
  2h

  Level
  Intermediate

  Build on the basics of generative AI by mastering retrieval-augmented generation (RAG), which enables you to create intelligent applications with improved accuracy. In this path, you will learn about concepts such as vectors and embeddings, and leverage Python libraries for practical RAG model implementations.

  

  This path contains 4 sections. One, Get Started with RAG, 30 minutes. Two, Start Developing Your Application, 30 minutes. Three, Dive Deeper into Key Concepts, 30 minutes. Four, Assess Your Knowledge, 30 minutes.
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  1. Get started with RAG

  1. Get started with RAG

  Learn steps for planning your generative AI application, and get a deeper understanding of how RAG improves the accuracy of AI applications.

  • URLVideo: Exploring the Benefits of RAG (10m)
  • URLVideo: Planning Your Generative AI Project (20m)
• 2. Start developing your application

  2. Start developing your application

  Configure your tools and environments to begin developing a RAG application.

  • URLVideo: Setting Up Your Generative AI Development Environment (10m)
  • URLVideo: Exploring a Basic RAG Application (20m)
• 3. Dive deeper into key concepts

  3. Dive deeper into key concepts

  Learn more about the technical concepts behind a robust RAG application, including agents for creating prompts and vector embeddings.

  • URLVideo: Identifying Useful Components for Your Generative AI Application (20m)
  • URLVideo: What Are Embeddings? (15m)
• 4. Assess your knowledge

  4. Assess your knowledge

  Earn a badge by demonstrating your knowledge with this final assessment. The assessment will be accessible after you complete all the resources in the learning path and acknowledge the assessment policy below.

  • 投票Assessment Policy
  • 小テストTake the assessment

    次の条件に合致しない限り利用できません:

    • 活動「 Video: Planning Your Generative AI Project (20m) 」が完了マークされた場合
    • 活動「 Video: Exploring the Benefits of RAG (10m) 」が完了マークされた場合
    • 活動「 Video: Setting Up Your Generative AI Development Environment (10m) 」が完了マークされた場合
    • 活動「 Video: Exploring a Basic RAG Application (20m) 」が完了マークされた場合
    • 活動「 Video: Identifying Useful Components for Your Generative AI Application (20m) 」が完了マークされた場合
    • 活動「 Video: What Are Embeddings? (15m) 」が完了マークされた場合
    • 活動「 Assessment Policy 」が完了マークされた場合
• What's Next?

  What's Next?
  • Request a demo of InterSystems IRIS with vector search to start building your own application.
  • Access the OpenAI documentation to learn more about connecting with the GPT-4 LLM.

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