How can I quickly benchmark a model using ST Model Zoo? With ST Model Zoo, you can easily evaluate the memory footprints and inference time of a model on multiple hardwares using the ST Edge AI ...

This project implements various models for Multi Natural Language Inference (NLI) using the MultiNLI dataset with PyTorch. The models are trained to classify pairs of sentences as entailment, ...

Evaluating NLP models has become increasingly complex due to issues like benchmark saturation, data contamination, and the variability in test quality. As interest in language generation grows, ...

Addressing the evolving challenges in software engineering starts with recognizing that traditional benchmarks often fall short. Real-world freelance software engineering is complex, involving much ...

OpenAI’s o3 benchmark controversy is starting to look like a Theranos moment—claiming record-breaking performance on EpochAI’s FrontierMath benchmark while having access to much of the test data, and ...

OpenAI claimed that its o3 model could solve over 25% of FrontierMath problems, but new tests by Epoch AI reveal that the public version can solve about 10%. ARC Prize and an OpenAI engineer confirm ...

OpenAI's o3 Model Claims Human-Level Intelligence on Benchmark, But It Might Not Be That Smart OpenAI’s o3 AI model scored 85 percent on the ARC-AGI benchmark, matching the average human score.

MiniMax M2 was released in late October this year. The company stated that M2.1 demonstrated significant improvements in ...

Following an unfavorable leaked Alder Lake benchmark earlier this week, another benchmark has been leaked through Geekbench. Unlike the previous benchmark, this one was testing processor performance ...