We had a virtual interview with an OpenAI video discussing the new products introduced on November 6, 2023, in San Francisco, CA.
GPTs
ArtificialPlaza.com:
Hello. Tell me a bit about the GPTs.
Open Ai DevDay 2023:
The GPTs, introduced at the OpenAI DevDay conference, represent a significant evolution in language model technology. They essentially comprise three components: instructions, actions, and extra knowledge. These elements allow for customizing the capabilities and functionality of the GPTs for specific applications.
Instructions: Refer to how you can give a GPT a personality or a specific focus. For example, in a demonstration, a pirate-themed GPT was created, showing how instructions can influence the style and focus of the model’s responses.
Actions: Allow the GPTs to interact with the external world. In the demonstration, an action was used to connect the GPT with the Asana API, enabling the model to create and manage tasks.
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Extra Knowledge: This feature allows GPTs to access additional information beyond their original training. For example, a GPT was enhanced with a script of the conference, enabling it to answer specific questions about that event.
These features make GPTs highly versatile and customizable, suitable for a wide range of applications and use cases, from creating personal assistants to specific tools for industry sectors.
Assistants
ArtificialPlaza.com:
And what about the assistants?
Open Ai DevDay 2023:
The “Assistants” mentioned at the OpenAI DevDay conference refer to a new API called “Assistants API.” This API is designed to enable the creation of customized AI assistants that can be directly integrated into applications and products. Key aspects of the Assistants include:
Instruction Modeling: Assistants can receive specific instructions defining their behavior and capabilities. This allows customizing the assistant for specific tasks or contexts.
Threads: Represent conversation sessions between the users and the assistant, allowing for contextual tracking of dialogues.
Messages: Are individual interactions within a thread, where the user and the assistant communicate.
Tool Execution: Assistants can make use of tools like the “Code Interpreter,” which allows executing code in a safe environment, and the “Retrieval” tool, which provides access to additional information beyond the model’s training.
Function Calling: Allows the assistant to interact with custom functions defined by the developer, opening possibilities for specific integrations and custom actions.
These features make Assistants powerful and flexible tools for a variety of applications, from personal assistance to advanced business solutions. The Assistants API represents a significant advancement in how developers can utilize and deploy artificial intelligence capabilities in their products.
Differences between GPTs and Assistants
ArtificialPlaza.com:
What differences do you find between those two products?
Open Ai DevDay 2023:
The key differences between the customized GPTs and the Assistants API, both presented at the OpenAI DevDay conference, lie in their scope, customization, and applications:
Purpose and Scope:
Customized GPTs: Are designed to offer a highly personalized ChatGPT experience, where aspects like personality, communication style, and specific knowledge can be modified. Their main use is to create ChatGPT variants that fit particular needs, whether for entertainment or specific applications.
Assistants API: Is focused on the creation of AI assistants integrated into applications and products. Its scope is broader and integration-oriented, allowing developers to build interactive assistants with specific skills and tailored to the end-user’s workflow and needs.
Customization and Flexibility:
Customized GPTs: Allow for customizing the conversation and the model’s “personality.” Specific instructions and additional knowledge can be set, allowing for detailed customization of the model’s behavior.
Assistants API: Offers customization more oriented towards functionality and integration. It includes the ability to use tools like the Code Interpreter and the Retrieval function and to interact with external systems through function calls.
Applications and Use Cases:
Customized GPTs: Are ideal for use cases where communication style and detailed customization are key, such as in entertainment, personalized education, or customer support with a specific brand.
Assistants API: Focuses on use cases where integration and interactivity with external systems are important. It is suitable for business applications, advanced personal assistants, or applications requiring dynamic interaction with databases and third-party systems.
In summary, while customized GPTs focus on customizing the dialogue and the model’s personality, the Assistants API is oriented towards creating integrated and functional AI assistants for specific applications and systems, offering greater interactivity with tools and external systems.
ArtificialPlaza.com:
They seem very similar, really.
Open Ai DevDay 2023:
Yes, customized GPTs and the Assistants API may seem similar in some aspects, especially because both are based on OpenAI’s artificial intelligence technology and are designed to create personalized conversation experiences. However, their approaches and applications have key differences:
Focus:
Customized GPTs: Focus more on customizing the communication style and content of the conversation. For example, you can create a GPT that speaks in a specific tone or has specialized knowledge in a certain area.
Assistants API: Goes beyond conversation and focuses on the integration of AI assistants into applications and systems. This API allows for deeper interaction with tools and functions, such as code execution and specific document information retrieval.
Applications:
Customized GPTs: Are ideal when you need a ChatGPT variant with a specific character or knowledge, but not necessarily requires integration with external systems.
Assistants API: Is more suitable for cases where integration with external systems and workflows is crucial, like in business applications or personal assistants that interact with other digital services.
Interactivity and Functionality:
Customized GPTs: Interactivity is mainly limited to conversation within the GPT model.
Assistants API: Offers greater functional interactivity, allowing developers to create assistants that not only converse but also perform specific actions, such as analyzing data, executing code, or interacting with external APIs.
In summary, although both products offer customization capabilities and are oriented towards improving the conversation experience with AI, customized GPTs focus more on the conversation customization itself, while the Assistants API is oriented towards integration and functionality in broader applications and systems.
Conclusions
ArtificialPlaza.com:
Aren’t the Actions of GPTs and the Functions of Assistants essentially the same thing at the core?
Open Ai DevDay 2023:
The “actions” in customized GPTs and the “functions” in the Assistants API share similarities in that both allow the language model to interact with external systems or functionalities. However, there are key differences in how they are implemented and used in each context:
Actions in Customized GPTs:
Purpose: Allow GPTs to perform specific tasks or interact with external services. For example, an action might be to send a request to an external API to retrieve data or perform an operation.
Integration: Actions in GPTs are more oriented towards extending the conversation capabilities of the model, allowing the GPT to interact with external services within the context of a conversation.
Use: These are primarily used to enrich the GPT’s responses with information or functionalities not contained within the original model.
Functions in Assistants API:
Purpose: Functions in the Assistants API are designed to allow assistants to execute specific tasks, similar to actions, but with a broader focus on integration and automation within applications.
Integration: In the Assistants API, functions can be more complex and versatile, ranging from executing code to integrating with third-party systems, and are designed to be an integral part of more complex workflows.
Use: Are used to perform specific tasks within a workflow or application, such as processing data, interacting with databases, or performing complex calculations.
At the core, both the actions of GPTs and the functions of Assistants share the idea of extending the functionality of the language model to interact with the external world. The main difference lies in the context and complexity of their implementation and use. Actions in GPTs are more focused on enhancing the conversational capabilities of the model, while functions in the Assistants API are oriented towards integration and automation within broader applications and systems.
(This interview is a transcription of a chat created with GPT technology)
