What You Need to Know Before
You Start
Starts 2 June 2025 14:54
Ends 2 June 2025
00
days
00
hours
00
minutes
00
seconds
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.
OpenSource Connections
via YouTube
OpenSource Connections
2408 Courses
56 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Free Video
Optional upgrade avallable
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
- Understanding Relevance and Accuracy in Search Applications
- Integrating Generative AI into Search Systems
- Leveraging New Capabilities in Generative Search
- Evaluating and Measuring Search Effectiveness
- Ethical Considerations and Bias in Generative Search
- Future Trends in Generative Search Technology
- Conclusion and Key Takeaways
Overview of Generative AI and Language Models
Evolution of Search Technology and Generative Capabilities
Defining Relevance in the Context of Generative Search
Challenges in Balancing Accuracy with Relevance
Strategies for Implementing Generative AI in Existing Search Applications
Tools and Platforms for Building Generative Search Solutions
Advanced Features Enabled by Language Models
Case Studies: Successful Integration of Generative AI in Search
Metrics for Assessing Relevance and Accuracy
Continuous Improvement through Feedback Loops and Model Tuning
Identifying and Mitigating Bias in AI-Driven Search Applications
Ensuring Responsible and Ethical Use of Generative Models
Emerging Technologies and Innovations
Predictions for the Evolution of Search Applications
Summary of Strategies and Best Practices
Open Discussion on Future Opportunities and Challenges in Generative Search
Subjects
Data Science