InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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Needle in a 930M Member Haystack: People Search AI @LinkedIn
Mathew Teoh explores how LinkedIn's People Search system uses ML to surface the right person that you're looking for.
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PostgresML: Leveraging Postgres as a Vector Database for AI
Montana Low provides an understanding of how Postgres can be used as a vector database for AI and how it can be integrated into your existing application stack.
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Introducing the Hendrix ML Platform: an Evolution of Spotify’s ML Infrastructure
Divita Vohra and Mike Seid discuss Spotify’s newly branded platform, and share insights gained from a five-year journey building ML infrastructure.
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ChatGPT and AI: What's Next in Large Language Model (LLM) Architectures
The panelists discuss what's next in Large Language Model (LLM) architectures used in tools like ChatGPT and how these tools will further disrupt the AI/ML space.
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Strategy & Principles to Scale and Evolve MLOps @DoorDash
Hien Luu shares their approach to MLOps, and the strategy and principles that have helped them to scale and evolve their platform to support hundreds of models and billions of predictions per day.
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Declarative Machine Learning: a Flexible, Modular and Scalable Approach for Building Production ML Models
Shreya Rajpal discusses declarative ML systems, and how they address key issues that help shorten the time taken to bring ML models to production.
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Laying the Foundations for a Kappa Architecture - the Yellow Brick Road
Sherin Thomas discusses strategies to evolve Data Infrastructure to enable Kappa architecture in an organization.
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LLMs in the Real World: Structuring Text with Declarative NLP
Adam Azzam discusses why building machine learning pipelines to extract structured data from unstructured text is a popular problem within an unpopular development lifecycle.
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FINOS and Open Source in the Financial Services Industry
Elspeth Minty discusses the background of FINOS, introduces some of its projects and initiatives, and the importance of FINOS to open source in the financial services industry.
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Performance and Scale - Domain-Oriented Objects vs Tabular Data Structures
Donald Raab and Rustam Mehmandarov discuss three library solutions for managing data based on an example of high-performance CSV processing.
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Building High-Fidelity Data Streams
Sid Anand discusses how they built a lossless streaming data system that guarantees sub-second (p95) event delivery at scale with better than three nines availability.
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Fabricator: End-to-End Declarative Feature Engineering Platform
Kunal Shah discusses how their ML platform designed Fabricator by integrating various open source and enterprise solutions to deliver a declarative end-to-end feature engineering framework.