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The how, why, what and where of Amazon’s LLM access layer
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Dataflows were (rightly?) considered “the slowest and least performant option” for ingesting data into Power…
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Longer summers, milder winters: analysis of temperature trends in Uzès, France, year after year.
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Learn how to get the most out of agentic coding
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The eternal promise of self-service analytics
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Walkthrough using open-source prompt optimization algorithms in Python to improve the accuracy of an autonomous…
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Learn how I utilize slash commands to be a more efficient engineer
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Understanding the foundations of federated learning
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Achieving infinite context with 114× less memory
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Why Retrieval Helps in Time Series Forecasting We all know how it goes: Time-series data…
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Part 2: Avoiding burnout, learning strategies and the superpower of solitude
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Instead of using shift as an excuse for poor performance, use Inverse Probability Weighting to…
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An explanation of how YOLOv1 measures the correctness of its object detection and classification predictions
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A prerequisite for long-term success of machine learning systems
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Understanding retrieval in RAG systems by experimenting with different chunk sizes
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The Variable Newsletter
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Essential reads on how to boost your current skill set and plan for career growth…
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Hands-on walkthroughs of problems and solution approaches that power real‑world data science use cases
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Using ACE to create self-improving LLM workflows and structured playbooks
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How approximate vector search silently degrades Recall—and what to do about It
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A practical guide to observability, evaluations, and model comparisons
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From single to multi-core on your local PC and beyond
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