A small adversarial test set that catches the retrieval failures your evaluation set never will

The post Break Your Own RAG Pipeline Before Users Do appeared first on Towards Data Science.

Learn how to effectively code up an internal tool using Claude code or Codex

The post Build a Speaker-Recognition App with Claude Code appeared first on Towards Data Science.

Finding citations, consolidating code, fact-checking and preparing for the defence

The post 4 Ways to Use AI on a PhD Thesis appeared first on Towards Data Science.

The AI that makes decisions instead of generating text

The post An Introduction to Jev appeared first on Towards Data Science.

Exploring TypeSafe's Jev and comparing it with OpenAI on intent classification

The post A New Kind of Model for AI Decision-Making? appeared first on Towards Data Science.

Why this matters less for what Astra can do and more for what every other model hasn't been tested for

The post GPT-6 Astra Just Hit OpenAI's Highest Cybersecurity Risk Level appeared first on Towards Data Science.

How to put a dollar value on your organization's operational data

The post Google Offered $10M for a Dying Airline's Data. How Can You Value Yours? appeared first on Towards Data Science.

Five scikit-learn defaults that deserve a closer look before your next model reaches production

The post Your AI Assistant Wrote the Code. Who Checked the Defaults? appeared first on Towards Data Science.

Beyond basic graph retrieval: six production-oriented architectures for combining semantic search, knowledge graphs, and LLM reasoning.

The post GraphRAG: A Practitioner's Guide to 6 Advanced Architectural Patterns appeared first on Towards Data Science.

Understanding and implementing CBAM (Convolutional Block Attention Module) from scratch with PyTorch

The post CBAM Paper Walkthrough: The Double-Attention Mechanism appeared first on Towards Data Science.

Deduplicating a 10,000-row supplier list in Python, where the hard part is deciding what a similarity score of 91 means

The post One Vendor, Four Spellings: How Deterministic Stages Beat Similarity Scores appeared first on Towards Data Science.

One near miss, four months of running agents, and the question almost nobody is asking: what are you supposed to do while the AI writes the code?

The post AI Made Me 5x Faster. It Also Made Me 5x Worse at My Job. appeared first on Towards Data Science.

How to verify your app aligns with your intent without ever reading a line of generated code.

The post Coding Agents Keep Shipping Silent Failures — Here Is How to Catch Them appeared first on Towards Data Science.

The recurring cost of production AI is not inference. It is re-qualification: the eval reruns, prompt retuning, and regression testing you owe every time a model changes under you. Here is what that tax actually covers, and how to budget for it before it surprises you.

The post We Pinned Our Model Version to Stay Safe. The Provider Deprecated It Anyway. appeared first on Towards Data Science.

How do you set yourself up for a career that will stand the test of time when things are changing so fast?

The post Starting a Career in Data Science in the Age of AI appeared first on Towards Data Science.

Multi-agent coding systems don't necessarily fail because agents can't communicate. They can fail because important commitments made in conversation have nowhere to live afterward.

The post Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer appeared first on Towards Data Science.

Starting with a local Parquet file, then joining it to data stored in the cloud

The post Building a Data Lakehouse with DuckDB and DuckLake appeared first on Towards Data Science.

What it takes to turn counterfactual analysis into an AI product

The post How I Built a Multi-Agent System for Interrupted Time Series Analysis (ITSA) appeared first on Towards Data Science.

From a chocolate bar with no price tag to a marketing mix model in PyMC, and the 200-year-old integral that stood in between.

The post Why You Think Like a Bayesian but Were Taught Like a Frequentist appeared first on Towards Data Science.

I built four AI retrieval architectures on a laptop and benchmarked them against the same set of documents and questions. Here’s what the results taught me about the trade-offs between plain RAG, graph RAG, and simply putting everything into a frontier model’s context window.

The post When Does Graph RAG Actually Add Value? A Hands-On Experiment appeared first on Towards Data Science.