Artículos Destacados
Estos artículos no son de mi autoría. Son contenidos destacados de diversas fuentes que comparto por su valor informativo. Todos los créditos pertenecen a sus respectivos autores y publicaciones originales.
My Model Worked Perfectly. Then I Tried to Make It Useful.
Turning a trained churn classifier into a FastAPI service that other software can actually call.
Tables in PDFs for RAG: Don’t Flatten the Grid
Enterprise Document Intelligence [Vol.1 #B4] - A diagnostic and five composable operations, not a decision tree
Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting
I built a prompt dependency graph that separates everything a component can reach from the smaller set that actually needs targeted evaluation.
How to Solve the Right Problem in the Age of Agentic AI
A practical framework for reducing uncertainty before agents accelerate implementation
Avoiding Entity Key Drift in a Data Lake: Step 2, When Fuzzy Matching Stops Working
I built a matcher meant to finish the cleanup that normalization left behind. Testing it against real data showed that no version of it could be made safe. What follows is the architecture that was left once the matcher was set aside.
A RAG That Says “Not in This Document” Has to Show Four Kinds of Evidence
Enterprise Document Intelligence [Vol.1 #B3] - A confident wrong answer is a bug. A bare “no answer” with no justification is almost as bad. Each of the four bricks has one piece of evidence to show
Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply
A visual guide to how graph neural networks work under the hood
A Practical Introduction to PySpark Window Functions
Why the standard groupBy function isn’t enough
Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LLM Structured Outputs Won't Catch
Five failure modes that survive constrained decoding, and why your schema validator will never catch them.
What We Miss About Missing Values
The hidden assumptions behind the data we observe.