Jazz Computing Research Center

Choosing the Right Large Language Model (LLM) for your Business

Tradeoffs between Open Source and Blackbox Large Language Models

Abstract:

This paper conducts a comparative analysis between Open Source Large Language Models (LLMs) and Blackbox LLMs. It highlights their unique features, efficiency, transparency, adaptability, and concerns around ethical usage. By weighing the pros and cons of each system, the study provides guidance for businesses making strategic decisions in AI implementations. The study emphasizes that the choice between Open Source and Blackbox LLMs hinges on a range of factors, from business objectives to regulatory compliance, and underscores the necessity of understanding these technologies in the broader market landscape.

Published:

June 30, 2023

Buy on Stripe!Buy on Stripe!

Jazz Computing LLC partners with Stripe for simplified & secure billing.

Check out Jazz Computing Other Research Papers:

Disclaimer:

These reports and their contents are the property of Jazz Computing LLC and are protected by copyright laws. Unauthorized use, reproduction, or distribution of these documents, in whole or in part, without the written consent of Jazz Computing LLC is strictly prohibited. Please note that opinions, discussion, and insights expressed in these report are provided for informational purposes only and should not be relied upon as legal, investment, or tax advice. These reports are not directed at nor intended for use by any investors or prospective investors. References to any securities or digital assets are for illustrative purposes only and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, the discussions may not under any circumstances be relied upon when making a decision to invest in any funds or public security. Additionally, no information contained in this report has been obtained from any sources protected by non-disclosure agreements (NDAs) or other confidential means, and is all based on publicly available information. The accuracy, reliability, and completeness of the information provided is strived for but not guaranteed. We do not accept responsibility for any errors, omissions, inaccuracies, or any actions taken based on this information. We recommend readers verify the information independently.