Teaching AI Agents to Master Spreadsheets

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

Autodata: Using AI agents as data scientists to generate high-quality synthetic training data

This paper introduces Autodata, a method that uses AI agents as data scientists to create high-quality synthetic training and evaluation dat

Microsoft and researchers develop SkillOpt to train AI agent instruction documents like model weights

Microsoft and three Chinese universities developed SkillOpt, a method that optimizes instruction documents (Markdown files) for AI agents us

A Journey from AI to LLMs and MCP - 10 - Sampling and Prompts in MCP – Making Agent Workflows Smarter and Safer

Loop Library: A Technical Guide to Repeatable AI Agent Workflows and Agentic Engineering Loops

This article presents a comprehensive library of repeatable AI agent workflows called "Loop Library," focusing on agentic engineering loops.

Building a Custom AI Agent That Answers Questions by Analyzing GitHub Code

The article describes building a custom AI agent that answers questions about the author's work by directly analyzing their GitHub code repo