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Starts 2 June 2025 14:54

Ends 2 June 2025

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Relevance in the Age of Generative Search - Haystack US 2023 Keynote

Explore strategies for integrating generative AI and language models into search applications, balancing accuracy and relevance while leveraging new capabilities in the evolving search landscape.
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Overview

Explore strategies for integrating generative AI and language models into search applications, balancing accuracy and relevance while leveraging new capabilities in the evolving search landscape.

Syllabus

  • Introduction to Generative AI in Search
  • Overview of Generative AI and Language Models
    Evolution of Search Technology and Generative Capabilities
  • Understanding Relevance and Accuracy in Search Applications
  • Defining Relevance in the Context of Generative Search
    Challenges in Balancing Accuracy with Relevance
  • Integrating Generative AI into Search Systems
  • Strategies for Implementing Generative AI in Existing Search Applications
    Tools and Platforms for Building Generative Search Solutions
  • Leveraging New Capabilities in Generative Search
  • Advanced Features Enabled by Language Models
    Case Studies: Successful Integration of Generative AI in Search
  • Evaluating and Measuring Search Effectiveness
  • Metrics for Assessing Relevance and Accuracy
    Continuous Improvement through Feedback Loops and Model Tuning
  • Ethical Considerations and Bias in Generative Search
  • Identifying and Mitigating Bias in AI-Driven Search Applications
    Ensuring Responsible and Ethical Use of Generative Models
  • Future Trends in Generative Search Technology
  • Emerging Technologies and Innovations
    Predictions for the Evolution of Search Applications
  • Conclusion and Key Takeaways
  • Summary of Strategies and Best Practices
    Open Discussion on Future Opportunities and Challenges in Generative Search

Subjects

Data Science