AI Tools & Frameworks Directory

A real Weave project that regression-tests three OpenAI models against the exact reply format your app depends on. The post One Capital Letter Was Silently Breaking My AI Support Bot, and It Wasn't in the New Model appeared first on Towards Data Science.

OpenAI has released ChatGPT Images 2.5, its latest image-generation model, with a greater emphasis on controlled editing than simply producing prettier images. The update promises sharper details, more natural lighting and textures, stronger reference-image preservation, more reliable multi-turn edi...

I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where they came from. The post Coding Agents Don't Need Longer History — They Need Intent Continuity appeared first on Towards Data Science.

This article explains 5 Python techniques for efficient resource orchestration and sticks to what's stable today, 3.11 and later for the core techniques, with one 3.14-specific tool called out explicitly as requiring that version

Once feature engineering lives inside a Pipeline, each step is fitted on training data only, and the model is scored what it actually earned. And that is the idea behind this new cheat sheet.

Why autonomous agents expose a new explainability problem in fraud detection The post What SHAP Can't Explain About Agentic AI Fraud appeared first on Towards Data Science.

Moving from static model assignment to intelligent, task-level LLM selection. The post Optimizing LLM Inference Costs in Multi-Agent Systems with Adaptive Model Routing appeared first on Towards Data Science.

Automate common CSV tasks with these 5 Python scripts for cleaning, validating, transforming, and processing CSV files using the standard library.

A model is only as reliable as the assumptions behind it The post Who Questions What Works: When Should We Retest Our Assumptions? appeared first on Towards Data Science.

A Hindi lesson can mix English terms (loan words), scanned tables and handwritten equations. Making that content searchable, translating it and reading it aloud requires several kinds of AI. Bodhan AI and AI4Bharat’s four new models target those jobs across Indian languages.  Released in September 2...

A practical guide to building, testing, and documenting SQL transformations The post Getting started with dbt appeared first on Towards Data Science.

A six-stage pipeline that checks its numbers before calling anything an answer.

Understanding permutation symmetry in deep learning, and what it means for weight averaging and model merging The post The Symmetry That Breaks Neural Network Averaging appeared first on Towards Data Science.

Learn seven engineering techniques to train large language models on consumer GPUs without running out of memory.

In this article, you will learn how to build, track, compare, and register scikit-learn pipelines that integrate large language models using Scikit-LLM and MLflow. Topics...

How model validation standards are changing for LLM-based systems: what breaks, what carries over, and how to test output quality The post The Model Validation Playbook for GenAI: Lessons from Banking appeared first on Towards Data Science.

Over the past several years, I have worked through three successive generations of intelligent retrieval systems, each solving problems the previous generation could not. Here is what I have learned.

The way we build interfaces is changing. As AI agents write more of our code, the tools we use to render that code may need to change too.

Explore five free ways to access AI coding agents, proprietary coding models, and open-weight models without paying for expensive subscriptions or GPUs.

As LLM applications grow more complex, inference cost and latency become increasingly important. A single request can contain thousands or even millions of tokens from system instructions, conversation history, retrieved documents, tool definitions, and user input. Reprocessing the same information ...

A context window can be technically complete and still describe a world that no longer exists. I built a deterministic benchmark to measure the cost of acting on stale context. The post Context Windows Don’t Know What’s Still True — I Built a Validity Layer That Does appeared first on Towards Data S...

Last week, a GitHub notification arrived while I was asleep: a bug had been reproduced in staging, documented with screenshots, and assigned to the right engineer. A bot I set up four days earlier did the work overnight. That is the gap Grok Bot is designed to close. Instead of suggesting what to do...

AI companies quietly watermark billions of words a day. Here’s how to apply the same three families of techniques to your own writing—and what real experiments reveal about which watermarks survive copy-paste, editing, and paraphrasing. The post Text Watermarking in Python: Catch Whoever Copies Your...

Improving reinforcement learning for complex physics The post Dynamical System Transfer Learning with Reduced Order Models appeared first on Towards Data Science.