Part 1: Understanding the technologies shaping our future

The post 10 Things I’m Learning Beyond AI to Become More Technologically Fluent appeared first on Towards Data Science.

Autoregressive rollout and uncertainty propagation. Second in a series on probabilistic forecasting for physical signals.

The post Your Model's MSE Is Lying to You: Part II appeared first on Towards Data Science.

RAG retrieves. Agents act. I built both separately, connected them explicitly, and ran the same nine tasks through all three systems.

The post RAG Isn't an Agent — I Built the Layer Between Retrieval and Action appeared first on Towards Data Science.

I tested TypeSafe AI’s Jev on 3,080 classification tasks to see how its accuracy, latency, calibration, and confidence compare with LLMs — and whether it works as a practical decision layer for AI systems.

The post Jev vs. LLMs: When AI Moves from Generation to Decision-Making appeared first on Towards Data Science.

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.