The Types of Dimensions in a Star Schema, and How to Use Them | Towards Data Science
Towards Data Science - Mediumby Salvatore Cagliari·10h ago
A short Intro to Dimensional modelling To begin, here is a short introduction to what a Star Schema is and what dimensional modelling is.
Bayesian Guardrails for AI Decisions: Measuring Uncertainty Before Automating Decisions | Towards Data Science
Towards Data Science - Mediumby Mahe Jabeen Abdul·11h ago
Most AI systems in production are optimized to provide an answer. This format can make the model seem more certain than it actually is.
How Benders Decomposition Works, Part II: Feasibility Cuts | Towards Data Science
Towards Data Science - Mediumby Luis Fernando Pérez Armas·13h ago
That value allowed us to generate an optimality cut. The subproblem effectively told the master that its decision was feasible, but that operating under it would cost more than expected.
How to Effectively Align Your Intent with Claude Code | Towards Data Science
Towards Data Science - Mediumby Eivind Kjosbakken·1d ago
There are numerous bottlenecks that I’ve experienced now that coding has become commoditized and we can write more code a lot faster with Claude Code and Codex.
The LLM Judge That Kept Agreeing With Itself | Towards Data Science
Towards Data Science - Mediumby Priyansh Bhardwaj·1d ago
For a few weeks it worked well enough that we stopped watching it closely. Then a query that should have been flagged got approved and ran.
Three Kinds of RAG Corpus, and What It Costs to Build for the Wrong One | Towards Data Science
Towards Data Science - Mediumby angela shi·1d ago
On a demo folder that works. On an enterprise shelf it stops working, and not because a parameter is set wrong.
How to Fine-Tune an LLM: An End-to-End Guide | Towards Data Science
Towards Data Science - Mediumby Sam Black·1d ago
Why fine-tune ? Let me provide a real, personal example. We fine-tuned a 7B parameter model which completely blows foundation models out of the water, but just for this very narrow subtask: Filling...
Making the Knowledge Layer a Graph You Actually Traverse | Towards Data Science
Towards Data Science - Mediumby Miodrag Cekikj·1d ago
The architecture held up. The contradiction register refused to answer a question the firm itself had not settled.
How to Scale an Integration Pipeline Without Breaking Correctness | Towards Data Science
Towards Data Science - Mediumby Yuelin Ou·2d ago
I went back and forth for a while on whether to It sounds simple. System A calls system B’s API, what’s the big deal.
Understanding Anti-AI Public Opinion | Towards Data Science
Towards Data Science - Mediumby Stephanie Kirmer·2d ago
Many journalists and politicians are looking for a single factor to explain this pattern. Is it the power bills? AI slop taking over our social media feeds? The irritating noise data centers make?
Jigsaw Jeeves: Building a Puzzle Assistant using Computer Vision | Towards Data Science
Towards Data Science - Mediumby Chinmay Kakatkar·2d ago
The puzzle itself is not the issue. After all, you sat down to solve the puzzle because you enjoy the intellectual challenge.
From Prototype to Production: The Architecture Behind Secure & Governed AI Agents | Towards Data Science
Towards Data Science - Mediumby Partha Sarkar·3d ago
A There are several reasons for this, primary among them being infra and data readiness, but also building responsible AI — model & agent governance, security, transparency, explainability, etc.
Building Enterprise Agent Systems that People can Trust, Verify and Improve | Towards Data Science
Towards Data Science - Mediumby Sheila Teo·3d ago
I I’ve distilled my experience into 5 principles for building agent systems that succeed inside a business, earn people’s trust and improve over time.
Graph Engineering Isn’t About More Connections — It’s About Which Ones Get Used | Towards Data Science
Towards Data Science - Mediumby Emmimal P Alexander·3d ago
TL;DR What I did: built a controlled experiment that isolates one variable, relationship density, from everything usually confounded with it, using a fully deterministic agent policy instead of...
Ten Is Not a Hundred | Towards Data Science
Towards Data Science - Mediumby Javier Marin·3d ago
The problem If you review it (and you are not an LLM), you see the problem in a second, and you don’t need a finance degree. The bank has a review pipeline for exactly this.
Webwright: Why AI Web Agents Should Write Code, Not Click | Towards Data Science
Towards Data Science - Mediumby Chien Vu Minh·4d ago
1. Introduction: the web won’t hold still If you have built a web agent recently, you know the failure pattern.
Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them | Towards Data Science
Towards Data Science - Mediumby Shoumik Chakravarty·4d ago
Intro In my organization I’ve worked as a backend engineer and architect. My main responsibility is ensuring the services we design meet their functional requirements, but also scale to millions of...
How to Perform Effective Project Management with AI | Towards Data Science
Towards Data Science - Mediumby Eivind Kjosbakken·4d ago
In this article, I’ll discuss how to perform effective project management in the age of AI, both from the perspective of orchestrating tasks and deciding what can be done, and then how to...
Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline | Towards Data Science
Towards Data Science - Mediumby angela shi·4d ago
A one-shot pipeline commits to its first try: parse once, retrieve once, generate once, return whatever comes out.
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