ML-Engineering

LangChain 101: A Framework for Building AI-Powered Applications

This newsletter breaks down LangChain’s architecture, key components, and how it simplifies building AI-powered applications with LLMs.

Mar 25 •

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Arun Subramanian

Unveiling Michelangelo: Democratization of ML across Uber – Part 2/2

Let's dive into part 2 of how Uber's Michelangelo platform revolutionizes machine learning at scale, enabling seamless deployment and management and…

Sep 17, 2024 •

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How Metaflow powers Diverse ML Systems at Netflix?

Learn how Netflix uses Metaflow to power diverse ML systems, enabling seamless scalability and flexibility in their data-driven operations.

Sep 10, 2024 •

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Pinterest MLEnv: Empowering Machine Learning at Scale

Discover how Pinterest's MLEnv empowers engineers to deploy scalable machine learning models with ease.

Sep 4, 2024 •

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Unveiling Michelangelo: Democratization of ML across Uber – Part 1/2

Discover how Uber's Michelangelo platform revolutionizes machine learning at scale, enabling seamless deployment and management and democratizing…

Aug 27, 2024 •

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Building Scalable ML Architectures: Best Practices and Patterns

Explore the comprehensive guide that discusses key strategies and design patterns for developing robust, scalable machine learning systems.

Aug 13, 2024 •

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Building a Strong Portfolio for ML Engineering Roles

Discover 8 essential strategies and best practices for showcasing your skills, projects, and experience to stand out in the competitive field of machine…

Aug 6, 2024 •

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From SWE to MLE: Strategies and Tips for Transition

Bridge the gap between software engineering and machine learning. Gain insights, tips, and best practices to transition smoothly and thrive as a ML…

Jul 30, 2024 •

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Evolution of ML Engineering Role

Delve into the evolution of the ML Engineer role, examining its past, present, and future to understand its growing significance in the tech industry.

Jul 23, 2024 •

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