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Towards Data Science

Behind the Scenes of Distributed Training and Why Your GPU Wiring Matters as Much as Your Strategy | Towards Data Science How to Find the Optimal Coding Agent Interface | Towards Data Science Loop Engineering for Hierarchical Retrieval: Reading a Long Document by Its Table of Contents | Towards Data Science Where Does an AI’s Personality Actually Come From? | Towards Data Science The Real Challenge Limiting AI Models Today Redesign Work Before You Add More AI Agents Inside the Subspace Where Spurious Correlations Are Born Information Theory and Ensemble Models Granger Causal Networks and Indirect Feedback Measuring Structure Stability of Econometric Models A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers Proxy-Pointer RAG: Temporal Reasoning Without Semantic Precompilation Identifying Microbes in Space Survival Analysis for Data Drift and ML Reliability How to Run End-to-End Tests with Claude Code Validating the RAG Answer Before the User Sees It: Spans, Quotes, and the Feedback Loop Stop Ranking Agent Configs by Average Score Assemble Each RAG Generation Prompt from a Base Prompt Plus the Rules Each Question Needs PANet Paper Walkthrough: When Feature Pyramids Go Bottom-Up Setting Up Your Own Large Language Model Stop Returning Text from RAG: The Typed Answer Contract That Prevents Hallucination AI Agents Explained: What Is a ReAct Loop and How Does It Work? Long Context vs. Short Context Model: When Does a Long Context Model Win?
The Threshold Is a Price, Not a Percentage
Hoda Rezvanj · 2026-07-08 · via Towards Data Science
How to decide when an AI agent should act on its own by using cost asymmetry instead of a fixed confidence cu…