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The next leakage problem is not only temporal. It is spatial, structural, and coverage-related. AI-generated…
21 min read -
Persistent Latent Memory for Multi-Hop LLM Agents: How a 6G Handover Paper Closes the Agent Cold-Start
Agentic AIEvery hand-off in your multi-agent pipeline is an expensive tokenization round-trip. Discover how Inductive Latent…
39 min read
Latest
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How Pandas chunking, Dask, and Polars help process millions of records when adding more compute…
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Build and deploy an agent on AWS with Strands and AgentCore
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Enterprise Document Intelligence [Vol.1 #7bis] – Tobi Lütke and Andrej Karpathy named the practice in…
19 min read -
In the age of AI, standing out here means a lot more than ever. Here…
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Build a more powerful coding agent setup with a model ensemble
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A hands-on walkthrough of a hybrid local-cloud workflow using Gemma 4 and GPT-5.4, with reasoning…
18 min read -
How Far Can Classical NLP Go? From Bag-of-Words to Stacking on Spooky Author Identification
Machine LearningAn end-to-end classical NLP experiment on Kaggle’s Spooky Author Identification task: from Vowpal Wabbit and…
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Small prompt changes can silently break critical behavior in production. This article introduces a practical…
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The tools I use for analytics and reporting have changed more than I expected, yet…
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Editor’s Picks
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Behind a customer’s API, a high-quality answer isn’t enough. It has to be usable, which…
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Why memorizing for the exam doesn’t mean you understand the subject
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Enterprise Document Intelligence [Vol.1 #M1] – The thesis behind every architectural choice in this series
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A reproducible benchmark on latency, cost, and reproducibility, and where agents actually earn their keep.
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Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable
Data EngineeringA practical data engineering onboarding workflow for environment setup, automated testing, and AI-assisted development.
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A practical walkthrough using text-to-SQL as the example
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How Gemini solved my Pandas problem in seconds, and why data science fundamentals still matter…
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GPU-Resident Top-K for Agentic RAG: I Built a CUDA Kernel So My Retrieval Step Would Stop Bouncing Off the GPU
Agentic AIThe PCIe transfer latency is silently bottlenecking your agentic inference. Here is how building a…
31 min read -
Structured Outputs with LLMs: JSON Mode, Function Calling, and When to Use Each
Large Language ModelsGetting reliable, readable responses out of your LLM, and knowing which tool to reach for
13 min read
The Variable Newsletter
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Authors can now benefit from updated earning tiers and a higher article cap
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Sorting through the good, bad, and ambiguous aspects of vibe coding
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Deep Dives
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A team cut their AI inference bill by more than half. Three months later, customer…
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I benchmarked raw chat history, vector-only RAG, and a context graph on the same multi-agent…
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Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression
Data ScienceWhether you should stick to a classic Ordinary Least Squares regression, introduce interaction terms, or…
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Beat the 8GB VRAM limit. Learn how to run three different LLMs on a single…
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Finding the right anchors for RAG: keyword, embedding, and TOC signals in parallel
Large Language ModelsEnterprise Document Intelligence [Vol.1 #7B] – Retrieval is filtering on structured tables: keywords first, TOC…
33 min read -
Enterprise Document Intelligence [Vol.1 #7A] – Stop searching strings. Filter line_df and toc_df. Pick anchors…
21 min read