AI labs have staked their reputations on model benchmarking — the supposedly neutral and accurate system of evaluations that are designed to measure whether one AI product is better than another. However, the methods behind these evaluations are complicated and still maturing, said Irene Solaiman, Hugging Face’s chief policy officer, during a discussion at TechCrunch […]
AI labs have staked their reputations on model benchmarking — the supposedly neutral and accurate system of evaluations that are designed to measure whether one AI product is better than another. However, the methods behind these evaluations are complicated and still maturing, said Irene Solaiman, Hugging Face’s chief policy officer, during a discussion at TechCrunch […]
Read the full story on TechCrunch
Source: TechCrunch
In August, Nscale and Anthropic announced a $45 billion compute deal. The two companies are reportedly…
Microsoft wants enterprises to closely watch the agents employees use with systems not controlled by AI…
Amazon wants to break Nvidia’s hold on PyTorch, the free toolkit used to build most AI…
