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How to Build Multi-Agent Systems with the OpenAI Agents SDK
Build an EV purchase adviser and a support agent in Python, then see how fan-out, pipelines, hierarchies, and swarms reuse the same building blocks. The post How to Build Multi-Agent Systems with the OpenAI Agents SDK appeared first on Towards Data Science .
Change One Monty Hall Rule and Five LLMs Still Say Switch
Even with step-by-step reasoning, the models landed near 33% accuracy, and one quoted the host's rule correctly before ignoring it. The post Change One Monty Hall Rule and Five LLMs Still Say Switch appeared first on Towards Data Science .
Timestral, t0, Tabby, and Morpheus-2.0 Compared on GIFT-Eval
All four time-series foundation models scale, patch, and predict quantiles; the real split is how series share information. The post Timestral, t0, Tabby, and Morpheus-2.0 Compared on GIFT-Eval appeared first on Towards Data Science .
How to Prioritize Product Feedback by Revenue at Risk
Bellwether joins support tickets, store reviews, sales calls, and NPS to CRM accounts, then stress-tests the ranking on 6,693 synthetic signals. The post How to Prioritize Product Feedback by Revenue at Risk appeared first on Towards Data Science .
How to Measure AI Adoption, Performance, and ROI With 12 KPIs
Includes a worked example with 50 users and $110,000 in first-year cost, plus baselines, targets, and ownership rules for every AI initiative. The post How to Measure AI Adoption, Performance, and ROI With 12 KPIs appeared first on Towards Data Science .
How to Manage Python Environments with uv Instead of venv and pip
A side-by-side walkthrough of venv plus pip and uv init, uv add, uv run, and uv sync, with a lockfile that recreates the project on another machine. The post How to Manage Python Environments with uv Instead of venv and pip appeared first on Towards Data Science .
Build Your First Multi-Tool AI Agent with Ollama and Python
AI Agents for Beginners, Part 2: The agent picks between three database tools, uses each result to choose its next call, and stops at an eight-turn circuit-breaker if it gets stuck. The post Build Your First Multi-Tool AI Agent with Ollama and Python appeared first on Towards Data Science .
Give Your Python AI Agent Persistent Memory with One JSON File
Three Python classes, an OpenRouter key, and gpt-4.1-mini give the agent a calculator, a stub web search, and conversation recall that survives restarts. The post Give Your Python AI Agent Persistent Memory with One JSON File appeared first on Towards Data Science .
How to Report for 100+ Clients With One Semantic Model
Configuration-driven reporting: one semantic model, one metric catalog, and a few lines of configuration per audience The post How to Report for 100+ Clients With One Semantic Model appeared first on Towards Data Science .
How We Built NASA's Zero-Shot Detector for Gas Leaks from Space
We trained one model on methane. Without retraining, it also maps carbon monoxide, ammonia and nitrogen dioxide plumes, including the first automated CO detections from NASA’s EMIT. The post How We Built NASA's Zero-Shot Detector for Gas Leaks from Space appeared first on Towards Data Science .
How GEO, WebMCP, and Bot Paywalls Are Building the AI-Native Internet
The internet of the future will look much different than the one today. Businesses are already transitioning. The post How GEO, WebMCP, and Bot Paywalls Are Building the AI-Native Internet appeared first on Towards Data Science .
Why a Tiny GPT Can Know Two Facts and Still Not Connect Them
A tiny GPT memorized every fact I gave it, then couldn’t answer a single question that needed two of them. I tested the one-line fix from a recent paper, and it only half worked. The post Why a Tiny GPT Can Know Two Facts and Still Not Connect Them appeared first on Towards Data Science .
A Computational Analysis of Women’s Suffrage in Historical Newspapers
Using 600,546 digitized newspaper pages to measure how suffrage coverage changed from 1890 to 1920 The post A Computational Analysis of Women’s Suffrage in Historical Newspapers appeared first on Towards Data Science .
How to Combine Contradictory Filters in DAX
Sometimes we need to calculate results based on contradictory filters. Without any action, these filters will lead to an empty result. Let's see how we can improve the data model to make it work. The post How to Combine Contradictory Filters in DAX appeared first on Towards Data Science .
Let Decision Models Guide Your Voice Assistant
GPT-Live does the talking. A decision model tracks what’s confirmed and picks what to ask next. The post Let Decision Models Guide Your Voice Assistant appeared first on Towards Data Science .
Beyond Classical: A Quantum Approach to Time-Series Prediction
Introducing CoQS-LSTM, a Coherent Quantum Long Short-Term Memory Architecture The post Beyond Classical: A Quantum Approach to Time-Series Prediction appeared first on Towards Data Science .
AI Will Do Your Job. That Should Be Good News.
The case for paying people to play when machines do the work The post AI Will Do Your Job. That Should Be Good News. appeared first on Towards Data Science .
A Good Shooter or Just a Good Shot Selector? Using Python to Find Out
In basketball, field-goal percentage tells us how often a player makes a shot. But what about the shots’ difficulty? Let's use Python and machine learning to separate shot selection from shot making. The post A Good Shooter or Just a Good Shot Selector? Using Python to Find Out appeared first on…
Your Agent Works in the Demo. Now Make It Survive Monday.
The demo is the easy part The post Your Agent Works in the Demo. Now Make It Survive Monday. appeared first on Towards Data Science .
Three Techniques to Understand Your Codebase When Coding Agents Write the Code
Learn how to use Claude Code to write feature memos, review pull requests, and build visual HTML explainers, so you understand what your agents ship The post Three Techniques to Understand Your Codebase When Coding Agents Write the Code appeared first on Towards Data Science .
In the directory since 25 Sept 2026 · last checked 9 Nov 2026 · RSS