GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
IEEE

AIvaluate: A Multi-Agent Framework for Automated Answer Script Evaluation Using Large Language Models and Semantic Vector Indexing

Abstract: In conventional educational environments, it is labor-intensive, subjective, and susceptible to human error to hand-mark descriptive answers. This article ...
IEEE

Analyzing the Performance and Practicality of C, Rust, Python, and Lua Programming Languages for Developing Microcontroller Applications

Abstract: Modern embedded systems are evolving quickly, demanding innovative approaches to software development across various domains. Selecting the right programming language is crucial for ...
GitHub

Python CEL - Common Expression Language

Fast, Safe, and Expressive evaluation of Google's Common Expression Language (CEL) in Python, powered by Rust. The Common Expression Language (CEL) is a non-Turing complete language designed for ...