MAST

Anthropic reported that AI agents consume roughly 4× the tokens of a chat interaction, and multi-agent setups around 15×, according to its production data. A UC Berkeley team built MAST, a taxonomy of…

Researchers introduced AdaMAST, an adaptive extension of MAST, which converts an LLM agent's execution traces into a taxonomy of named failure codes along three fixed axes, enabling durable and diagno…

A developer demonstrates how to use the Python library Astroquery to programmatically access astronomical data from multiple archives, solving the heterogeneity problem of different APIs. The tutorial…