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Comparing AI-Augmented Information Retrieval Strategies

OpenSource Connections via YouTube

Overview

Explore a multi-speaker conference talk from Haystack US 2024 featuring Audrey Lorberfeld and the Women of Search community as they delve into various AI-powered information retrieval strategies. Trace the journey of a query through cutting-edge techniques such as fine-tuning ML models, constructing RAG (Retrieval-Augmented Generation) pipelines, and reranking methods. Gain insights into the advantages and limitations of each strategy, along with their optimal use cases. Participate in a Q&A session covering both the presentation content and the Women of Search initiative. Learn from Audrey Lorberfeld's diverse background in Library Science and software engineering, spanning roles at IBM, Shopify, Reddit, and Pinecone. Discover how her expertise in digital collections management for research and art libraries contributes to her current work in the search field.

Syllabus

Haystack US 2024 - Audrey Lorberfeld: Women of Search present Comparing AI-Augmented IR Strategies

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