Search and Retrieval - AI's Most Successful Hack
Explore hybrid search in RAG systems, combining metadata filtering and re-ranking for scalable LLM recommenders. Learn core concepts of retrieval, filtering, and ranking.
Benchmarking Embeddings for Similar Image Retrieval - Zucchini or Cucumber?
Explore image-based recommendations for grocery shopping using AI. Learn to build and evaluate benchmarks for image vectorization models, improving differentiation between similar food items.
Comparing AI-Augmented Information Retrieval Strategies
Explore AI-powered information retrieval strategies with Women of Search experts. Analyze fine-tuning ML models, RAG pipelines, and reranking methods for optimal use in search applications.
Why RAG Projects Fail and How to Make Yours Succeed
Explore common pitfalls in RAG projects and learn strategies to ensure success. Gain insights on project organization, execution, and overcoming challenges in implementing chatbots and QA systems.
Expanding RAG with Multimodal Capabilities - Haystack US 2024
Explore multimodal RAG workflows for enhanced retrieval and generation, incorporating text, tables, and images. Live demo showcases PDF processing, vector database usage, and LLM-enriched responses.
Measuring and Improving Retrieval in RAG Systems - Haystack US 2024
Learn techniques to measure and enhance retrieval quality in RAG systems, exploring alternatives to human expert judgments and methods for tuning retrieval to improve generated responses.
Evolution of Moody's Search and AI - From Legacy Systems to Cloud-Native Solutions
Explore Moody's journey from legacy SOLR to cloud-native AWS OpenSearch, enhancing search architecture with AI integration and custom relevance systems for improved cross-product usability and intelligent search experiences.
Chat With Your Data - A Practical Guide to Production RAG Apps
Learn to build production-ready RAG applications with insights from Moody's rapid development. Gain strategies for embedding, relevance measurement, cost management, and team organization for impactful AI-driven data interaction.
Future of Knowledge: The Role of AI
Explore AI's impact on knowledge management and scientific understanding with insights from Iris.ai's CTO. Gain perspective on innovative AI applications in processing scientific data.
Using MLflow and Databricks to Deploy ML Models in Production
Explore MLflow and Databricks for production ML model deployment. Learn end-to-end management, model tracking, and deployment strategies, plus Databricks' Feature Store and AutoML.
Graphs and Transformers - Exploring the Next AI Frontiers
Explore the evolution of deep learning models, focusing on graphs and transformers as fundamental building blocks in modern AI architectures for natural language, protein research, and image generation.
Accelerating Data Intensive ML Applications with the Graphcore IPU
Explore how Graphcore's Intelligence Processing Unit accelerates AI development, focusing on BERT optimization and implementation using Spell's Cloud MLOps platform and HuggingFace tools.
The Subtle Art of Fixing Silently Failing ML Models
Discover techniques to identify, assess, and proactively fix silent ML model failures. Learn to build reliable, compliant solutions resistant to performance degradation using AI Observability tools.
Introduction to Computer Vision with CNNs
Explore computer vision using CNNs and transfer learning. Learn practical steps for CNN training, including activation functions, and discover applications in image quality assessment and feature extraction.
Introduction to Reinforcement Learning - Creating AI for Atari Games
Explore reinforcement learning and convolutional neural networks to create AI for Atari games. Gain practical code examples and navigate deep reinforcement learning complexities.
Leveraging AI to Create Healthier and Safer Online Communities
Explore AI strategies for combating online harm, addressing evolving adversarial behavior, and balancing safety with privacy in digital communities.
Helping to Make AI a Force for Good
Explore AI's transformative impact on a century-old company, from developing innovative use cases to automating processes, while considering ethical implications and upcoming regulations.
Where Did My Model Go Wrong? Toolkits of Interpretability, Bias and Fairness to the Rescue
Explore techniques to identify and correct biases in machine learning models, interpret results, and ensure fair outcomes in model development and deployment.
Embrace Complexity: Building Your Organization's Knowledge Graph
Discover how knowledge graphs can revolutionize organizational data management and supercharge AI programs through real-world insights and architectural strategies.
What Exactly Is Your Machine Learning? Exploring Ethical Implications and Challenges
Explore the depths of machine learning, discussing data, biases, technology, and human behaviors. Challenge ethical questions in predicting accurate outcomes.
A User Guide to Transformers
Explore practical applications of transformers with minimal examples for various scenarios, enhancing your understanding of this innovative data analysis tool.