LLM agents increasingly work on long-horizon tasks, and the decisions they make along the way, such as which hypothesis to test or which implementation to build on, determine the outcome of the whole run. Making these decisions well is becoming a key capability for both engineering and research agen
AIBuildAI-2.5: Efficient Autonomous AI Model Development Through LLM-Guided Tree Search