posteriors: Normal Computing’s library for Uncertainty-Aware LLMs
Uncertainty: computing the unknown There are a number of ways which the community has begun investigating trading off compute for reliability – including adaptively – in AI models. We will discuss a path which has been less explored given scalability and accessibility questions which we seek to resolve. By investing more compute into the probabilistic […]
thermox: The First Thermodynamic Computing Simulator
Conventional Computing is Hindering AI Progress Energy consumption has become the primary bottleneck for AI, with growing concerns around the overall cost, waste heat, and emissions associated with AI infrastructure. This highlights a deep problem due the mismatch between underlying digital hardware and the computations required for AI.