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In this study, we present Omega, an advanced conversational agent based on Large Language Models (LLMs) such as OpenAI's ChatGPT, capable of conducting image processing and analysis tasks through a human- friendly natural language interface. The system leverages the LangChain Python library and is integrated as a plugin to napari, allowing users to instruct complex tasks without requiring prior programming knowledge. Omega can also generate instructional strategies, make interface widgets upon request, and rectify its own coding mistakes. Its abilities extend to executing Python code, controlling the napari viewer, querying documentation, and utilizing hardware acceleration libraries. The presented approach, while in its early stages, hints at a future where language-based agents could revolutionize how we interact with and use complex computational systems, making them more accessible to a broader audience.
Löıc A. Royer (Fri,) studied this question.