This article discusses the development of a GPT-based virtual assistant for Enefit, an energy company in the Baltics. It highlights the importance of data/information governance in ensuring accurate responses from the virtual assistant. It also emphasizes the need for guidance and training to customize the behavior and style of the assistant. The article concludes that achieving a high level of accuracy requires a balance of technology and process improvements.
A Practical Overview of Developing a GPT-Based Virtual Assistant
Introduction
In 2023, we developed a GPT-based virtual assistant for Enefit, a leading energy company. This article explores the non-technology challenges involved in creating a virtual assistant.
Data/Information Governance 2.0
To ensure accurate responses, a virtual assistant relies on high-quality data. Assigning document owners, establishing feedback mechanisms, and involving users in data management are crucial for success.
Guiding the Virtual Assistant
To shape the virtual assistant’s behavior and responses, we provide guidance and style examples. Collaboration between software developers, information owners, and the virtual assistant trainer is essential for effective development.
Conclusion
Developing a virtual assistant that exceeds the cognitive usefulness threshold requires attention to detail. Achieving 95% accuracy involves implementing a data management system, creating new roles and processes, and training all parties involved. Technology is only one-third of the equation, with organizational and process improvements making up the rest.
Developing a Company-Specific ChatGPT is One-Third Technology and Two-Thirds Process Improvements
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