Wolfram Mathematica’s Large Language Model (LLM)

Extract Faces from Images with the "Code Assistant"

In this screencast, we explore how to leverage the power of Mathematica's Large Language Model (LLM), more precisely the "Code Assistant" to extract faces from images. Instead of directly instructing the LLM to perform the task, we utilize Mathematica's capability to generate Wolfram Language code that accomplishes the face extraction.

We demonstrate the step-by-step process of leveraging the "Code Assistant" to extract faces from images. We start by loading an image into Mathematica and utilize the "Code Assistant" to generate Wolfram Language code that detects and extracts faces from the image. The generated code is then executed, producing a result that highlights the detected face.

During this screencast, we also uncover some problems of the "Code Assistant" to solve complex tasks. This can be circumvented by splitting the problem into simpler subtasks. At the end, we let the "Code Assistant" combine the tasks into one function.

By the conclusion of this screencast, viewers will have a clear understanding of how to utilize Mathematica's Large Language Model to extract faces from images efficiently and effectively. They will also be inspired to explore further applications of "Code Assistant" in their own projects.

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