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40 articles · Towards Data Science
Learn about the concept of loops to power your coding agents. The post How to Create Powerful Loops in Claude Code appeared first on Towards Data Scie…
Enterprise Document Intelligence [Vol.1 #7B] - Retrieval is filtering on structured tables: keywords first, TOC second, embeddings last The post Findi…
A practical walkthrough using text-to-SQL as the example The post Why I Stopped Using One Agent and Built a Multi-Agent Pipeline Instead appeared firs…
Activation patching reveals how facts are stored, routed, and read out across transformer layers, and why the residual stream does most of the work Th…
A practical data engineering onboarding workflow for environment setup, automated testing, and AI-assisted development. The post Your First Task as a…
Turning model coefficients into a 0–1000 score, with risk classes and stability checks The post How to Build a Credit Scoring Grid From a Logistic Reg…
A reflection on the first month of learning data engineering in public, and what actually kept me going. The post One Month Into Learning Data Enginee…
Enterprise Document Intelligence [Vol.1 #7C] - One LLM call ranks the candidates with reasons. The output is one typed object your auditor can defend…
Beat the 8GB VRAM limit. Learn how to run three different LLMs on a single 8GB GPU using C++ layer multiplexing and admission control. The post 3 Agen…
Whether you should stick to a classic Ordinary Least Squares regression, introduce interaction terms, or pivot to a Tweedie distribution depends entir…
A reproducible benchmark on latency, cost, and reproducibility, and where agents actually earn their keep. The post The Hot Path Belongs to GBDTs, Age…
I benchmarked raw chat history, vector-only RAG, and a context graph on the same multi-agent conversations. The results exposed a surprising weakness…
How to smash through data / ML behavioural interviews The post How to Ace Data and ML Behavioural Interviews appeared first on Towards Data Science .
Enterprise Document Intelligence [Vol.1 #M1] - The thesis behind every architectural choice in this series The post Amplify the Expert: A Philosophy f…
Why memorizing for the exam doesn't mean you understand the subject The post Water Cooler Small Talk, Ep. 11: Overfitting in RAG evaluation appeared f…
Using Gemma 4, Ollama, OpenAI Agents SDK, and Tavily MCP to build a lightweight research agent The post From Local LLM to Tool-Using Agent appeared fi…
Use coding agents to power your knowledge base The post How to Build a Powerful LLM Knowledge Base appeared first on Towards Data Science .
A team cut their AI inference bill by more than half. Three months later, customer satisfaction was dropping and the cost savings were tied to the qua…
A concrete bias–variance lesson: why the smallest model had the best cross-validated fit, and how to know when to reach for the big hammer. The post I…
Behind a customer's API, a high-quality answer isn't enough. It has to be usable, which means on time. Delivering that consistently is a problem about…