This story draft by @textmodels has not been reviewed by an editor, YET.
The Future of GPT4All
Table of Links
2.1 Data Collection and Curation
2.2 Model Training, 2.3 Model Access and 2.4 Model Evaluation
3 From a Model to an Ecosystem
3.1 GPT4All-J: Repository Growth and the implications of the LLaMA License
3.2 GPT4All-Snoozy: the Emergence of the GPT4All Ecosystem
3.3 The Current State of GPT4All
4 The Future of GPT4All
In the future, we will continue to grow GPT4All, supporting it as the de facto solution for LLM accessibility. Concretely, this means continuing to compress and distribute important open-source language models developed by the community, as well as compressing and distributing increasingly multimodal AI models. Furthermore, we will expand the set of hardware devices that GPT4All models run on, so that GPT4All models “just work" on any machine, whether it comes equipped with Apple Metal silicon, NVIDIA, AMD, or other edgeaccelerated hardware. Overall, we envision a world where anyone, anywhere, with any machine, can access and contribute to the cutting edge of AI.
This paper is available on arxiv under CC BY 4.0 DEED license.
Authors:
(1) Yuvanesh Anand, Nomic AI, [email protected];
(2) Zach Nussbaum, Nomic AI, [email protected];
(3) Adam Treat, Nomic AI, [email protected];
(4) Aaron Miller, Nomic AI, [email protected];
(5) Richard Guo, Nomic AI, [email protected];
(6) Ben Schmidt, Nomic AI, [email protected];
(7) GPT4All Community, Planet Earth;
(8) Brandon Duderstadt, Nomic AI, [email protected] with Shared Senior Authorship;
(9) Andriy Mulyar, Nomic AI, [email protected] with Shared Senior Authorship.
L O A D I N G
. . . comments & more!
. . . comments & more!
