John Nham

TL;DR: Using this search algorithm, the program AlphaGo achieved a 99.8% winning rate against other Go programs, and defeated the human European Go champion by 5 games to 0.5, the first time that a computer program has defeated a human professional player in the full-sized game of Go.

TL;DR: The PaLM 2 model as mentioned in this paper is a Transformer-based model trained using a mixture of objectives, which has better multilingual and reasoning capabilities and is more compute-efficient than its predecessor PaLM.

TL;DR: This work introduces a method to train soft prompts via self-supervised learning on data from knowledge bases and demonstrates that KPs can effectively model the structure of the training data and can be used to improve the performance of LMs in different knowledge intensive tasks.