Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Paper • 2407.21787 • Published Jul 31 • 12
based Collection These language model checkpoints are trained at the 360M and 1.3Bn parameter scales for up to 50Bn tokens on the Pile corpus, for research purposes. • 15 items • Updated Oct 18 • 9
Simple linear attention language models balance the recall-throughput tradeoff Paper • 2402.18668 • Published Feb 28 • 18