
Benchmark open-source AI models against Perplexity AI in web search performance. Compare Llama 3 70b, GPT-3.5 turbo, and Phi-3 medium using a custom web search agent.

Explore old and new machine learning approaches, comparing hierarchical probabilistic models with deep neural networks and examining their unique capabilities and potential combinations.

Explore deep retrieval models for efficient web-scale data search, balancing accuracy and computational cost. Learn techniques for training robust models with limited labeled data.

Discover how to enhance search relevance using semantic and vector search in Azure Cognitive Search, with live expert guidance and interactive Q&A.

Explore the synergistic potential between humans and LLMs in decision-making tasks, examining active learning, ML fairness, and collaborative approaches to AI implementation.

Dive into advanced natural language processing techniques, exploring RAG systems and extractive summarization methods for enhanced text processing capabilities.

Discover how to build scalable RAG systems with modular document embedding pipelines, focusing on efficient processing, ingestion, and indexing for enterprise-level knowledge management.

Discover how to build and evaluate privacy-focused web search engines, exploring dynamic test collections for continuous evaluation and practical insights on creating scalable solutions with limited resources.

Explore the principles of explainable AI, from feature-based to data-driven models, examining key algorithms like LIME and Shapley while understanding their broader societal impact and applications in search systems.

Explore cutting-edge research at UFMG Brazil combining AI, Information Retrieval, and NLP, with applications in law, health, and scientometrics through diverse machine learning techniques.

Dive into the evaluation frameworks for open web search applications, focusing on TIREx implementation, Docker integration, and practical approaches to building reproducible search engine solutions.

Dive into quantum annealing techniques for feature selection and clustering through hands-on demonstrations and practical implementations for advanced data analysis tasks.

Explore evaluation methods for information systems that address misinformation, fairness, and bias beyond traditional relevance metrics, with practical insights into quantitative measurement approaches.

Explore Solr v1 and v2 APIs with Solr committers, learning how to contribute to Apache Solr and understanding the differences between API versions.

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.

Explore advanced agentic RAG systems with expert Atita Arora, overcoming traditional limitations and revolutionizing information retrieval for AI and machine learning applications.

Explore the past, present, and future of speech and language processing with insights on technological trends, data mining, and shifting priorities in the field.

Explore Qdrant, an open-source vector search engine and database. Learn its architecture, capabilities, and applications in machine learning and information retrieval.

Explore Weaviate's architecture, delving into its vector database design, scalability features, and innovative approaches to data storage and retrieval in this comprehensive seminar.

Explore Milvus, a purpose-built vector data management system, and its applications in efficient similarity search and AI-powered data analysis.

Explore efficient vector similarity search using pgvector's Hierarchical Navigable Small World indexes for PostgreSQL databases.