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ChatGPT Code Interpreter Research

Business problem we are solving for

The problem that this solution aims to address is the need to enhance staff capabilities and productivity. By experimenting with Code Interpreter within Chat GPT, the team seeks to explore how this tool can serve as an augmentation for staff members. The Code Interpreter likely assists staff in handling programming-related tasks, automating certain processes, and improving efficiency in their work.

Summary of project

Our team has been experimenting with Code Interpreter inside of Chat GPT to see how it can augment staff.

Goals



Primary Features:

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Scope of project

The project will include the following stages:
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Requirements Gathering
Conduct comprehensive discussions with ASUO stakeholders to identify specific requirements, brand guidelines, and content creation challenges.
Document the identified requirements and establish clear objectives for the project.
Data Aggregation and Preprocessing
Collect and curate a suitable dataset of ASUO-related content to train the AI models.
Model Development
Train and fine-tune AI models using NLP techniques to enable content generation and rewriting capabilities.
Continuously evaluate and refine the models to ensure their performance aligns with ASUO's expectations.
Integration
Integrate the AI content generation tool with ASUO's existing content management systems or platforms.
Testing and Evaluation:
Conduct thorough testing and quality assurance to ensure seamless integration and functionality.
Deployment and Monitoring
Deploy the tool in ASUO's environment, ensuring proper configuration and compatibility.
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Resources/teams involved

Project Manager: Responsible for overall project coordination, communication, and timeline adherence.
Product Owner: A project stakeholder who will act as the voice of the user and make decisions about the product direction.
AI/ML Engineers: To build, train, and test the AI models.
Data Engineers/Analysts: To handle data aggregation, cleaning, and preprocessing.
Software Developers: For system integration, API management, and front-end interaction.
QA & UX Research: To conduct rigorous testing on the results of the AI models

ChatGPT Code Interpreter Research Tasks 2
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ChatGPT Code Interpreter Research Timeline 3
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Additional Considerations


Next Steps

From POC to Phase 1




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