SuperGLUE

A developer outlined best practices for evaluating AI models, emphasizing a multi-layered framework combining standardized benchmarks like MMLU and HumanEval, adversarial red teaming for prompt inject…

Liquid AI released LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, general-purpose bidirectional encoders that match or beat larger models on GLUE, SuperGLUE, and multilingual tasks while running about 3…

A developer built a generative simulation benchmarking framework for heritage language revitalization, using embodied agent feedback loops to evaluate cultural resonance beyond standard metrics like B…