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Explore Comcast's data-centric approach to AI voice and conversational interfaces, powering innovative technology solutions.
Explore NASA's SpaceML Worldview Search with insights from Machine Learning Lead Anirudh Koul, covering innovative applications in space exploration and data analysis.
Explore Ford's AI development lifecycle, focusing on data extraction, annotation, and augmentation for training. Learn about iteration's role in enhancing AI systems at Ford Motor Company.
Explore how machine learning techniques are applied to combat sex trafficking, focusing on detection and prevention strategies using deep web data analysis.
Discover how leading healthcare companies accelerate NLP application development using data-centric AI workflows, reducing development time from months to days.
Explore real-time machine learning's value, architectures, and challenges. Learn to optimize online prediction systems for latency, freshness, and accuracy.
Explore AI copilots' impact on enterprise productivity and data management, from RAG pipelines to generative AI solutions transforming business operations and customer experiences.
Leverage AI for comprehensive data analysis by combining structured and unstructured data, using multi-agent systems, and building AI-powered assistants for actionable insights.
Explore how a major financial firm enhanced customer service using Snorkel Flow's AI solution. Learn about implementation challenges, impacts, and future plans for integrating all customer touchpoints.
Explore techniques for customizing large language models in enterprise settings, including when and why to align LLMs and key methods for domain-specific adaptation.
Optimize RAG retrieval with a 5-step tuning process in Snorkel Flow. Learn to identify errors, improve document chunking, and enhance embedding models for better accuracy and performance.
Extract interest rate dividends from 10K documents using Snorkel Flow's foundation model-first workflow for document intelligence tasks.
Explore Direct Preference Optimization (DPO) for LLM alignment, its advantages over RLHF, and its impact on model evaluation. Learn how this technique topped the AlpacaEval leaderboard and influenced evaluation metrics.
Discover how to achieve 96% recall in content filtering using Snorkel Flow. Learn from a real-world case study and explore strategies to rapidly improve your AI-powered filtering processes.
Explore the critical role of training data management in GenAI, including harmonization across stages and its impact on model effectiveness and safety in various domains and languages.
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