Overview
Explore cutting-edge search and AI topics through lightning talks from Haystack US 2024. Gain insights on information retrieval, LLMs, vector search, semantic search, and more from industry experts.
Syllabus
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- Introduction to Search Relevance and AI
-- Overview of course goals and structure
-- Brief on Haystack US 2024 event highlights
- Information Retrieval
-- Basics of search relevance
-- Recent advancements and strategies
-- Case studies: Success stories from industry experts
- Large Language Models (LLMs)
-- Introduction to LLMs and their impact on search
-- Use cases and applications in search relevance
-- Integration and challenges
- Vector Search
-- Fundamentals of vector search
-- Transforming traditional search with vectors
-- Examples and industry adoption
- Semantic Search
-- Understanding semantic search mechanisms
-- Enhancing search accuracy with semantic methods
-- Tools and technologies powering semantic search
- AI in Search
-- Role of AI in redefining search technologies
-- Machine learning models for improving search outcomes
-- Ethical considerations and best practices
- Future Trends in Search and AI
-- Upcoming innovations and research areas
-- Predictions for the next decade
- Key Takeaways and Further Exploration
-- Summary of key insights from the talks
-- Resources for continued learning and development
- Conclusion and Closing Remarks
-- Reiteration of important points
-- Invitations for questions and community engagement
Taught by
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On-Demand
