ExfOptimizer
ExfOptimizer
Release Date
5 Jan, 2025
Release Version
v1.0
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
Specifications
Minimum Software Requirements
  • Operating System: Linux (Ubuntu 20.04 or later)
  • Python Version: 3.9+
  • Orchestration: Wolfram Engine
  • Containerization: Docker 20.10+ / Kubernetes 1.20+
  • Database: MongoDB
Minimum Hardware Requirements
  • CPU: 2 Cores
  • RAM: 4 GB
  • Storage: 50 GB disk space.
Resources
  • Docker Compose File: Link
  • Kubernetes YAML File: Link

Low Code & High Impact

45 days to results!
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