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I'm curious whats your view on the perspective of formulating problem in natural language using LLMs, sending model to opt engine for solution, and interpreting results using LLMs. I believe that there are some use cases worth to develop.
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Your Idea
Recently I developed mcp-ortools server, integrating Google OR-Tools with MCP. Here is: github: https://github.com/Jacck/mcp-ortools
So far I have seen only one talk about combining LLMs and optimization engines: https://www.youtube.com/live/wm9-7VBpdEo?si=suSMCQF9Ytrssgvf
I'm curious whats your view on the perspective of formulating problem in natural language using LLMs, sending model to opt engine for solution, and interpreting results using LLMs. I believe that there are some use cases worth to develop.
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