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Explore AI-powered email writing that mimics your style and content. Learn how Ghostwriter learns from your past to create personalized, relevant emails effortlessly.
Explore techniques for automating data annotation using Large Language Models. Learn workflows, result interpretation, validation, and integration into machine learning pipelines for efficient model finetuning.
Discover best practices for data labeling in LLM fine-tuning. Learn strategies for hiring, data preparation, and managing labelers to enhance AI model performance.
Explore Delivery Hero's innovative approach to MLOps, from micro feature stores to a unified Global Feature Store, optimizing local practices while scaling globally for enhanced efficiency.
Explore techniques to enhance LLM performance, scale models in production, and improve structured outputs. Learn from experts about information extraction, scaling challenges, and innovative programming approaches for better AI results.
Dive into the world of AI agents in production with insights on deployment strategies, real-world applications, and practical advice for integrating AI into everyday systems while maintaining human oversight.
Simplify real-time event processing and ML inference on streaming data with Numaflow, an open-source Kubernetes-native platform designed for scalability and ease of integration.
Explore GPU-accelerated data curation for large language models using NeMo Curator, focusing on scaling high-quality datasets to trillions of tokens for improved LLM performance.
Implement efficient data capture for ML observability, enabling monitoring and drift detection in complex ML systems with multiple data pipelines and transformations.
Uncover strategies to harness quality data, spot and eradicate low-quality information, and optimize decision-making. Learn prevention techniques and diagnostics to elevate data-driven initiatives and build trust.
Explore innovative data architectures using DuckDB, from on-device processing to in-browser SQL. Learn about flexible deployment options and efficient large-scale pipelines.
Explore techniques to enhance retrieval-augmented generation systems, including embedding models, rerankers, and query generation, while addressing current challenges and future directions.
Aprenda a transformar o caos de dados em estratégia de IA com desenvolvimento programático, acelerando a produção de IA e alinhando modelos a critérios de negócios únicos.
Demystify feature stores and learn to leverage them for scalable AI/ML data pipelines. Gain practical insights on types, functionalities, and integration into ML workflows for enhanced efficiency and performance.
Explore how data lakehouse architecture with Apache Hudi supports real-world ML and AI use cases. Learn about minute-level data ingestion, feature engineering, and vector generation pipelines for GenAI applications.
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