2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 2 cited
Nomic Embed Vision: Expanding the Latent Space
Zach Nussbaum, Brandon Duderstadt, Andriy Mulyar
This technical report describes the training of nomic-embed-vision, a highly performant, open-code, open-weights image embedding model that shares the same latent space as nomic-em…
cs.CL2023★ 1 cited
GPT4All: An Ecosystem of Open Source Compressed Language Models
Yuvanesh Anand, Zach Nussbaum, Adam Treat +6
Large language models (LLMs) have recently achieved human-level performance on a range of professional and academic benchmarks. The accessibility of these models has lagged behind…