AI's next dataset is your apartment

AgentTrove is the largest open-source collection of agentic interaction traces, with 1.7M rows in a ShareGPT-style layout. This hands-on Python tutorial shows how to stream the dataset without full downloads, normalize agent turns, extract commands, analyze trajectories, and export successful traces into a clean SFT fine-tuning dataset. The post How to Use AgentTrove: Streaming 1.7M Agentic Traces and Building a Clean ShareGPT SFT Dataset in Python appeared first on MarkTechPost.

The stablecoin issuer's new payment rail enables USDC transfers as small as $0.000001, targeting AI agents that pay per API call, per second, or per dataset read.

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In this tutorial, we work with Microsoft’s OpenMementos dataset and explore how reasoning traces are structured through blocks and mementos in a practical, Colab-ready workflow. We stream the dataset efficiently, parse its special-token format, inspect how reasoning and summaries are organized, and measure the compression provided by the memento representation across different domains. As we […] The post A Coding Implementation on Microsoft’s OpenMementos with Trace Structure Analysis, Context Compression, and Fine-Tuning Data Preparation appeared first on MarkTechPost.

New dataset of 30,000-plus competition math problems from 47 countries gives AI researchers a harder test — and students worldwide a better training ground.