RAG Questions Need Parsing Too: Turn the User’s String Into Briefs for Retrieval and Generation
Enterprise Document Intelligence [Vol.1 #6a] - Why a user question deserves the same parsing as the document, and how it splits into a retrieval brief and a generation brief before either runs
The post RAG Questions Need Parsing Too: Turn the User’s String Into Briefs for Retrieval and Generation ap...
In this article, we will walk through three essential Pandas tricks to clean and prepare your data efficiently: declarative method chaining, memory and speed optimization via categoricals and vectorized string accessors, and group-aware imputation using .transform().
The System Always Knows: Why Local Efficiency and System Performance Are Not the Same Problem
How local optimization in last‑mile delivery can quietly break the system
The post The System Always Knows: Why Local Efficiency and System Performance Are Not the Same Problem appeared first on Towards Data Science.
Solving the 3Blue1Brown String Probability Problem (Without AI)
Let's practice data science thinking through a probability problem
The post Solving the 3Blue1Brown String Probability Problem (Without AI) appeared first on Towards Data Science.
When PyMuPDF Can’t See the Table: Parse PDFs for RAG with Azure Layout
Enterprise Document Intelligence [Vol.1 #5bis] - The same relational tables. Native table cells. OCR for scanned pages and images. Captions and headings without regex.
The post When PyMuPDF Can’t See the Table: Parse PDFs for RAG with Azure Layout appeared first on Towards Data Science.
Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem)
For nearly a decade, this part of neural networks barely changed. DeepSeek is trying to reinvent it.
The post Why Decade-Old Residual Connections Still Power All of AI (And Why That’s a Problem) appeared first on Towards Data Science.
I Thought Data Engineering Was Just Writing Scripts. I Was Wrong.
I tried to make my ETL pipeline production-ready. Three things broke. Each one taught me something scripting alone never could.
The post I Thought Data Engineering Was Just Writing Scripts. I Was Wrong. appeared first on Towards Data Science.
In this article, we will cover three essential NumPy tricks to optimize your code: vectorization and broadcasting, in-place operations, and leveraging memory views instead of copies.
Is Language Visual? An Experiment with Chinese Characters
A story about a broken printer, visual inductive bias, and why the race endedin a tie.
The post Is Language Visual? An Experiment with Chinese Characters appeared first on Towards Data Science.
Stop Returning Flat Text from a PDF: The Relational Shape RAG Needs
Enterprise Document Intelligence [Vol.1 #5B] - One PDF in, a relational set of DataFrames out: lines, pages, TOC, images, cross-references, captions, spans, and a parsing summary
The post Stop Returning Flat Text from a PDF: The Relational Shape RAG Needs appeared first on Towards Data Science.
When GPU Utilization Lies: The Hidden Systems Problem Slowing Modern AI
Why “average utilization” lies about how full your GPUs really are
The post When GPU Utilization Lies: The Hidden Systems Problem Slowing Modern AI appeared first on Towards Data Science.
NuCS vs Choco: A Pure-Python Constraint Solver Meets a JVM Veteran
An in-depth performance test comparing Nucs and Choco
The post NuCS vs Choco: A Pure-Python Constraint Solver Meets a JVM Veteran appeared first on Towards Data Science.
How to Train a Scoring Model in the Age of Artificial Intelligence
A structured methodology for comparing candidate models, testing stability, and selecting a robust final score
The post How to Train a Scoring Model in the Age of Artificial Intelligence appeared first on Towards Data Science.
Beyond extract_text: The Two Layers of a PDF That Drive RAG Quality
Enterprise Document Intelligence [Vol.1 #5A] - Document signals (metadata, native TOC, source software) and page-level content (text vs scans, tables, images, columns, page profile)
The post Beyond extract_text: The Two Layers of a PDF That Drive RAG Quality appeared first on Towards Data Science.
Bayesian Networks and Markov Networks: An Intuitive Guide to Structured Uncertainty
An intuitive introduction to reasoning with uncertainty, from directed Bayesian networks to undirected Markov networks and weighted logical rules.
The post Bayesian Networks and Markov Networks: An Intuitive Guide to Structured Uncertainty appeared first on Towards Data Science.
Top 10 AI Engineering Tools Everyone is Using in 2026
AI tools have gone from “fun to try” to part of the daily workflow. There’s an AI tool for almost everything nowadays, readily accessible for all. The problem is no longer access. It’s choice. Every week, a new tool promises to save time, boost creativity, or replace half your workflow. Most just ad...
10 Common RAG Mistakes We Keep Seeing in Production
Enterprise Document Intelligence [Vol.1 #4bis] - A coauthor note on the brick-by-brick pitfalls that justified the four-brick split, before Part II walks the fixes
The post 10 Common RAG Mistakes We Keep Seeing in Production appeared first on Towards Data Science.