Hmbown/FluxEM
Deterministic domain encoders with embedding-space arithmetic (IEEE-754 semantics)
This project helps large language models (LLMs) perform calculations accurately instead of guessing. It takes in a question or command that requires a specific calculation (like math problems or scientific formulas) and uses a set of specialized tools to provide a precise, numerical answer. It's designed for anyone using LLMs for tasks where computational accuracy is critical, such as data analysts, engineers, or researchers.
Available on PyPI.
Use this if you need an LLM to provide precise, deterministic answers for numerical calculations or structured data problems across various domains, preventing factual errors and 'hallucinations.'
Not ideal if your primary need is for creative text generation, nuanced conversational AI, or tasks that don't involve specific, verifiable computations.
Stars
10
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jan 29, 2026
Commits (30d)
0
Dependencies
1
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