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ExfOptimizer
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Release Date
5 Jan, 2025
Release Version
v1.0
Description
Features
Specifications
At Exafluence, it started with the desire to get LLMs to do what they are not good at:
computation. LLM foundation models are great tools for creative and generative tasks. They
do their best when asked to write a poem or a story. However, they fall short of expectations
in computation-intensive use cases. The power of LLMs in interpreting natural language from
human users was difficult to ignore. We saw great potential in strengthening LLMs with
computational capabilities. We zeroed in on the Wolfram Engine for that purpose.
Key Features
Accept user requirements in natural language
Calculate the maximum profit that can be generated
The platform is currently designed to compute for four machines and a variable number of products
Extract the relevant quantitative inputs for solving the linear optimization problem
Display the visualization of how much time each of the four machines should spend on each product for the manufacturer to get the maximum profit