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Generative AI Fundamentals Accreditation: How to Choose Open-Source and Commercially Usable Large Language Models

Learn about the differences between open-source and commercial large language models, and some examples of models that are both open-source and commercially usable.

Multiple Choice Question

Which two Large Language Models (LLMs) are open-source and can be used for commercial purposes? Choose 2 options.

A. OpenAI’s ChatGPT
B. Meta’s LLaMA (v1)
C. Databricks’ Dolly
D. MosaicML’s MPT

Answer

C. Databricks’ Dolly
D. MosaicML’s MPT

Explanation

Databricks’ Dolly is a family of open-source large language models that are trained on a diverse and high-quality dataset of text and images, and can generate realistic and creative content, such as captions, stories, or memes. Dolly is licensed under the MIT license, which allows commercial use of the models.

MosaicML’s MPT is a family of open-source large language models that are trained on a massive corpus of text and code, and can perform various natural language and programming tasks, such as summarization, translation, code generation, or code completion. MPT is licensed under the Apache 2.0 license, which allows commercial use of the models.

OpenAI’s ChatGPT is a family of large language models that are trained on a large corpus of Reddit conversations, and can generate engaging and coherent dialogues, such as chatbot responses, jokes, or stories. ChatGPT is not open-source, and requires a license from OpenAI to use the models commercially.

Meta’s LLaMA (v1) is a family of large language models that are trained on a large and diverse corpus of text, and can perform various natural language tasks, such as question answering, summarization, or text generation. LLaMA (v1) is open-source, but not licensed for commercial use, as it requires a non-commercial research agreement from Meta to use the models.

Generative AI Exam Question and Answer

The latest Generative AI Fundamentals Accreditation actual real practice exam question and answer (Q&A) dumps are available free, helpful to pass the Generative AI Fundamentals Accreditation certificate exam and earn Generative AI Fundamentals Accreditation certification.

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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