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Explore the rapidly shifting search relevance landscape in this keynote address from Haystack US 2023. Delve into the integration of Transformers, Large Language Models (LLMs), and Foundation Models in public search engines, examining their impact on generative search capabilities. Learn about the potential of these models for abstractive question answering, summarization, and content generation, while understanding their limitations and the risk of hallucinating inaccurate information. Discover strategies and code examples for effectively incorporating emerging language models into search applications, balancing their innovative capabilities with established relevance techniques. Gain insights from Trey Grainger, CTO of Presearch and founder of Searchkernel, as he shares his extensive experience in AI-powered search, semantic search, personalization, and recommendation systems.
