Published on: 2025-06-03 21:39:14
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A new paper by researchers from Google Research and the University of California, Berkeley, demonstrates that a surprisingly simple test-time scaling approach can boost the reasoning abilities of large language models (LLMs). The key? Scaling up sampling-based search, a technique that relies on generating multiple responses and using the model itself to verify them. Th
Keywords: based sampling scaling search verification
Find related items on AmazonPublished on: 2025-07-16 00:20:18
There are many time-based statistical profilers around (like VMProf or py-spy just to name a few). They allow the user to pick a trade-off between profiling precision and runtime overhead. On the other hand there are memory profilers such as memray. They can be handy for finding leaks or for discovering functions that allocate a lot of memory. Memory profilers typlically save every single allocation a program does. This results in precise profiling, but larger overhead. In this post we describ
Keywords: allocation nursery overhead pypy sampling
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