Gods and Robots In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See... See More Episodes arXiv Whitepapers Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery The strength of modern generative models lies in their ability to be controlled through text-based prompts. Typical "hard" prompts are made from interpretable words and tokens, and must be hand-crafted by humans. There are also "soft" prompts, which consist of continuous feature vectors. These can... Offline Reinforcement Learning with On-Policy Q-Function Regularization The core challenge of offline reinforcement learning (RL) is dealing with the (potentially catastrophic) extrapolation error induced by the distribution shift between the history dataset and the desired policy. A large portion of prior work tackles this challenge by implicitly/explicitly... ÌròyìnSpeech: A multi-purpose Yorùbá Speech Corpus We introduce the ÌròyìnSpeech corpus -- a new dataset influenced by a desire to increase the amount of high quality, freely available, contemporary Yorùbá speech. We release a multi-purpose dataset that can be used for both TTS and ASR tasks. We curated text sentences from the news and creative... More featured content News Articles Making smart thermostats more efficient 4 ways to improve your TensorFlow model – key regularization techniques you need to know Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank Want cheaper nuclear energy? Turn the design process into a game Method finds hidden warning signals in measurements collected over time 5 Different Ways to Load Data in Python How humans use objects in novel ways to solve problems It takes a lot of energy for machines to learn – here’s why AI is so power-hungry Building machines that better understand human goals R squared Does Not Measure Predictive Capacity or Statistical Adequacy Neuroscientists find a way to make object-recognition models perform better More news