Abstract: Scaling test-time computation improves performance across different tasks on large language models (LLMs), which has also been extended to tool-augmented agents.
William Yang is a Correspondent at various esteemed publications including The Independent and Deutsche Welle. He specializes in areas such as science, applied sciences, and artificial intelligence, with a focus on deep learning, MLOps, and data compliance regulations. William's work has been featured in numerous outlets, including The Times, Yahoo News UK, and The Australian Financial Review.







