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.
Table of Contents
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.
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