A test of three vision AI models found that all three ignored the intended image, with GPT-4o fabricating answers and Claude repeatedly answering "B," according to a Towards Data Science report. The e…
Towards Data Science published an analysis explaining that large language models set to temperature 0 are not deterministic, because the top token can flip and identical completions diverge after roug…
Towards Data Science published "Build Your First AI Agent with One Tool Call," the first installment of its AI Agents for Beginners series, which walks readers through creating an AI agent using a sin…
Towards Data Science published a technical post titled "Your Model's MSE Is Lying to You III: Time Series Diffusion" describing a diffusion head for probabilistic time series forecasting. The post arg…
A physics-informed neural network (PINN) was benchmarked against a plain finite-difference solver in two experiments, one in 1D and one in 5D, with the winning method changing between the two dimensio…
A tutorial published by Towards Data Science demonstrates a PyTorch world-model technique that keeps a remote drone synchronized with a cloud system using two copies of one small AI model, cutting dat…
A controlled test published by Towards Data Science evaluated Gemini, DeepSeek, ChatGPT, and Claude on four forecasting traps: data leakage, reporting delays, promotion effects, and structural breaks.…
Towards Data Science published a tutorial titled "How to Build a Cheap, Yet Reliable Model Router With Jev," describing model routing as a design choice rather than a system enhancement. The article i…
A from-scratch PyTorch implementation of a physics-informed neural network (PINN) recovers blood flow, viscosity, and wall shear stress in a narrowed artery from 40 noisy velocity readings, according …
Towards Data Science published a guide on detecting hidden data drift in machine learning features using adversarial validation with scikit-learn. The article addresses the case where individual featu…
A Towards Data Science experiment found that AI detectors flagged many genuine reviews, and filtering the flagged content made the sentiment model less accurate. The author tested three methods for sp…
A tester evaluated TypeSafe AI's Jev on 3,080 classification tasks, comparing its accuracy, latency, calibration and confidence against large language models to assess whether Jev works as a practical…
Towards Data Science published an introduction to Jev, an AI system it describes as making decisions instead of generating text. The article's key takeaways state that AI advancements continue to resh…
Towards Data Science published an article titled "Your AI Assistant Wrote the Code. Who Checked the Defaults?" examining five scikit-learn defaults that the publication says deserve closer scrutiny be…
A hands-on experiment published by Towards Data Science benchmarked four AI retrieval architectures — plain RAG, graph RAG, and placing all documents directly in a frontier model's context window — ag…
A Towards Data Science analysis measured how many labeled examples a text classifier actually needs, finding that a decades-old baseline can handle many classification problems before developers reach…
Towards Data Science published "Your Model's MSE Is Lying to You," the first post in a series on probabilistic forecasting for physical signals, with a follow-up planned on rolling a forecast forward …
Towards Data Science published a post titled "From Static to Dynamic Skills: A Different Model for Agent Knowledge" arguing that the current panic over skill inflation in AI agents targets the wrong p…
A Towards Data Science post details the work of building a FastAPI endpoint for churn prediction, covering the failures encountered between a model running locally and being deployed live. The article…
Towards Data Science published a practitioner's guide titled "Your AI Adoption Lift Is a Selection Effect," addressing how to estimate the real impact of an opt-in AI feature when no randomized contro…