17 citations · 28 across the 6 of their papers we have counts for
3 papers · 1 filter
Long Context RAG Performance of Large Language Models
Quinn Leng, Jacob Portes, Sam Havens +2
Retrieval Augmented Generation (RAG) has emerged as a crucial technique for enhancing the accuracy of Large Language Models (LLMs) by incorporating external information. With the a…
LoRA Learns Less and Forgets Less
Dan Biderman, Jacob Portes, Jose Javier Gonzalez Ortiz +9
Low-Rank Adaptation (LoRA) is a widely-used parameter-efficient finetuning method for large language models. LoRA saves memory by training only low rank perturbations to selected w…
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining
Jacob Portes, Alex Trott, Sam Havens +6
Although BERT-style encoder models are heavily used in NLP research, many researchers do not pretrain their own BERTs from scratch due to the high cost of training. In the past hal…