Which Of The Following Is A Closed Source Large Language Model?

One interesting quiz that has been buzzing on Google searches is “Which Of The Following Is A Closed Source Large Language Model?”. In the course of this article, we will give you the answer to this quiz, and throw more light on Closed Source Large Language models. Without further ado, let us delve into the answer to this quiz. 

Short Answer- Which Of The Following Is A Closed Source Large Language Model?

The answer to this quiz; Which Of The Following Is A Closed Source Large Language Model? Is GPT-3. This interesting quiz came with four options namely; GPT-3, T5, OpenLM, and all of the above. 

Explanation of quiz answer: Which Of The Following Is A Closed Source Large Language Model?

T5, and OpenLM are both open-source LLMs, meaning their code and data are publicly accessible.

GPT-3 however,  is a closed source LLM developed by OpenAI. Its inner workings are protected, and users interact with it through APIs or specific platforms.

Understanding Open Source vs. Closed Source Large Language Models

Before we dive into the options, let’s clarify the difference between open source and closed source large language models (LLMs).

• Open Source LLMs: The code and data behind these models are publicly accessible. Anyone can inspect, modify, and distribute them freely. Examples include Llama, Falcon, and StableLM.
• Closed Source LLMs: The code and data remain proprietary, owned by the developing organization. Users can access the model through APIs or specific platforms but cannot see the underlying workings. Examples include GPT-4, GPT-3, Bard, and Claude.

Why does it matter?

Understanding whether an LLM is open source or closed source is crucial for several reasons:

• Customization: Open source LLMs offer greater flexibility for customization and adaptation to specific tasks.
• Cost: Open source LLMs can often be more cost-effective as there are no licensing fees.
• Transparency: Open source LLMs allow for scrutiny of the model’s biases and limitations.
• Control: Closed source LLMs provide more control over the model’s usage and data privacy.