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How a Herd of Models Challenges ChatGPT's Dominance: Conclusion, Discussion, and Referencesby@textmodels

How a Herd of Models Challenges ChatGPT's Dominance: Conclusion, Discussion, and References

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In this work we present the result that a Herd of open-sourced models can achieve performance comparable or better than ChatGPT, at a fraction of the compute cost and zero query cost. This system offers a new model paradigm to compete against closed source models, by leveraging widely available open source technology.
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Authors:

(1) Surya Narayanan Hari, Department of Biology and Biological Engineering California Institute of Technology (Email: [email protected]);

(2) Matt Thomson, Department of Biology and Biological Engineering Program in Computational and Neural Systems California Institute of Technology (Email: [email protected]).

Abstract and Introduction

Conclusion and discussion, and References

Conclusion and discussion

In this work we present the result that a Herd of open-sourced models can achieve performance comparable or better than ChatGPT, at a fraction of the compute cost and zero query cost. Further, when proprietary models cannot answer a query, a herd of open source models, are able to cover a significant portion of the deficit. This system offers a new model paradigm to compete against closed source models, by leveraging widely available open source technology.

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This paper is available on arxiv under CC 4.0 license.