Automating Skill Construction: A New Approach to Language Model Agents
RWSA and W2S represent major strides in automating skill creation from trace data, improving consistency by 10.5% over traditional methods. The real question is: why stop here?
RWSA and W2S represent major strides in automating skill creation from trace data, improving consistency by 10.5% over traditional methods. The real question is: why stop here?
OpticalDNA takes a bold step in genomic modeling by treating DNA like visual data, outperforming traditional text-based models with fewer tokens and parameters.
Large language models excel in math but stumble in probability. A recent study reveals their limitations in heuristic reasoning with a significant performance gap.