Get more out of your coding agent subscriptions

The post How to Maximize Your Coding Agent Subscriptions appeared first on Towards Data Science.

Retrieval is not evidence. How to build AI that proves its own claims.

The post Beyond RAGs: Building Actually Truthful AI Harnesses appeared first on Towards Data Science.

Why a green test suite can mean nothing

The post Towards Spec-Driven Test Automation: Part 1 appeared first on Towards Data Science.

The reliability mechanisms we add to LLM pipelines are often the ones that make them confidently wrong.

The post When the Correct Answer Is Nothing, What Does Your Pipeline Return? appeared first on Towards Data Science.

Reproducing Anthropic's "Toy Models of Superposition" from scratch in NumPy, with hand-derived gradients and no borrowed numbers.

The post I Trained a Tiny Network to Compress Data. It Drew a Pentagon. appeared first on Towards Data Science.

A Journey through TF-IDF, vector space, and text classification

The post From Words to Vectors: What Happens in Between? appeared first on Towards Data Science.

The mechanics behind local reasoning experiments with Unsloth and why the reward function matters as much as the model.

The post How GRPO Trains Small Language Models with Verifiable Rewards appeared first on Towards Data Science.

A beginner-friendly guide to building a world model in Python, letting it daydream its way through CartPole, and accurately measuring when the illusion collapses.

The post How to Make Your First World Model from Scratch appeared first on Towards Data Science.

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.