AI Tools & Frameworks Directory

I replayed correct model decisions through four broken browser actions. A simple page check missed half of the wrong clicks, and raised a false alarm on every click that worked inside an embedded page. The post I Broke a Browser Agent on Purpose. Spotting the Fault Was Not the Same as Fixing It appe...

A separation of powers for control of autonomous agents The post Who Watches the AI? appeared first on Towards Data Science.

Neural networks won’t settle the measurement problem — but they are quietly changing how we see, predict and protect quantum superpositions. The post Opening the Box: Can Machine Learning Resolve Schrödinger’s Cat? appeared first on Towards Data Science.

Robust Estimation Series: Building Accurate Curves with Polynomials and Splines With Spurious Data The post Don’t Let Messy Data Bend Your Curves appeared first on Towards Data Science.

The mathematics, intuition, interpretation, and practical use of higher-order moments. The post Skewness and Kurtosis: From Moments to Machine Learning appeared first on Towards Data Science.

Ask several models the same question, take a vote, and you get fewer independent opinions than you paid for. One formula says how many, and I checked it on six open models and 1,500 exam questions. The post Your Six AI Models Are Really Two: The Math of Correlated Mistakes appeared first on Towards ...

I let an AI agent search again whenever it chose. It found some papers plain search had missed, lost some plain search had found, and gained too little to trust. The post Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions appeared first on Towards Data Science.

A short, reproducible tutorial on spectral unmixing using real in situ interzeolite conversion data The post Raman Spectra Preprocessing and Non-Negative Least Squares Modelling in Python: Monitoring Zeolite Crystallization appeared first on Towards Data Science.

I put wrong answers in front of 200 exam questions and read what a small model’s reasoning said when it fell for them. The post Same Answer, Different Reason: What a Reasoning Model Says When It Follows a Planted Hint appeared first on Towards Data Science.

Teaching foundation models new skills without breaking them is hard. A new reinforcement learning-based approach might have the power to change that. The post Could On-Policy Self-Distillation Revolutionize Post-Training? appeared first on Towards Data Science.

A hands-on guide to building browser automation by combining decision models with LLMs. The post Decision Models in Action: Build a Hybrid LLM Workflow appeared first on Towards Data Science.

Grid puzzles that people solve almost perfectly show where language and vision models still break The post Spatial Reasoning in AI Models, Taken Apart appeared first on Towards Data Science.

Building an incremental pipeline with dbt snapshots, and the API that quietly lied to me along the way. The post I Built a Pipeline to Track the Job Market I'm Trying to Break Into. appeared first on Towards Data Science.

Training models on procedurally generated datasets for card detection and segmentation The post Synthetic-to-Real Transfer with Frozen DINOv3 Features appeared first on Towards Data Science.

Towards Spec-Driven Test Automation, Part 4 The post Skill or MCP Server? Ask What Stops the LLM From Disobeying appeared first on Towards Data Science.

Turn scattered requirements into deployable agents The post What's in the Box? Distinguishing Acceptable Traces from Unacceptable Ones appeared first on Towards Data Science.

A million-token output window changes what you can hand a model in one go, and the benchmarks and the bill show who it actually suits. The post Welcome to Google Gemini 4 Argon appeared first on Towards Data Science.

ML model adoption doesn't stop with acceptance of accuracy; it starts there. The post Can Conformal Prediction Take You from Accurate to Reliable Machine Learning? appeared first on Towards Data Science.

Ten quantization guides, and not one threshold-dependent metric between them — what that gap hides, and the two numbers that close it. The post The Number Your Quantization Gate Doesn't Have appeared first on Towards Data Science.

How participant-aware evaluation changed performance across three machine-learning models The post When EEG Models See the Same People in Training and Testing appeared first on Towards Data Science.

I rated my confidence 4 out of 5, then couldn’t find a planted bug in 8 minutes. Here is the tool, the run, and its limits. The post Do You Still Own the Code Your AI Wrote? I Built CodeOwnership to Measure It appeared first on Towards Data Science.

The tool found the right passage but missed the mismatch, and the audit shows where rule-based checks break down. The post I Built a Claim-Checker for Writing With Codex. It Passed a Wrong Claim. appeared first on Towards Data Science.

Getting your data science code running anywhere The post Deploying Data Science Tools: Part 1 appeared first on Towards Data Science.

I read the exact answer distribution from the logits of open models, base and instruction-tuned, and turned it into bits and guesses-to-crack. The post How Many Guesses Does It Take to Crack an AI's "Random" Number? appeared first on Towards Data Science.