Researchers from Stanford University Propose MLAgentBench: A Suite of Machine Learning Tasks for Benchmarking AI Research Agents

Human scientists can explore the depths of the unknown and make discoveries requiring various undetermined choices. Armed with the body of scientific knowledge at their disposal, human researchers explore uncharted territories and make ground-breaking discoveries in the process. Studies now investigate if building AI research agents with similar capabilities is possible.  Open-ended decision-making and free […]

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