1 citations · 1 across the 1 of their papers we have counts for
3 papers
Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought
Tencent Hunyuan Team, Ao Liu, Botong Zhou +248
As Large Language Models (LLMs) rapidly advance, we introduce Hunyuan-TurboS, a novel large hybrid Transformer-Mamba Mixture of Experts (MoE) model. It synergistically combines Mam…
GPT4All: An Ecosystem of Open Source Compressed Language Models
Yuvanesh Anand, Zach Nussbaum, Adam Treat +6
Large language models (LLMs) have recently achieved human-level performance on a range of professional and academic benchmarks. The accessibility of these models has lagged behind…
Empirical Bayes for Large-scale Randomized Experiments: a Spectral Approach
F. Richard Guo, James McQueen, Thomas S. Richardson
Large-scale randomized experiments, sometimes called A/B tests, are increasingly prevalent in many industries. Though such experiments are often analyzed via frequentist -tests,…