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 ...
Decrypt

OpenAI Says Benchmark Used to Measure AI Coding Skill Is 'Contaminated'—Here's Why

OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.
IEEE

SVM and MSVM for Plant Disease Detection: A Comparative Study

Abstract: This study performs a comparative analysis of Support Vector Machine (SVM) and Multi-Class Support Vector Machine (MSVM) for plant disease detection using a dataset consisting of images of ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Fault Diagnosis of Photovoltaic Array Based on GOOSE-SVM Model

Abstract: To address the accuracy degradation caused by unstable parameter selection in Support Vector Machines (SVM) for photovoltaic (PV) array fault diagnosis, this paper proposes a fault diagnosis ...
GitHub

bethington/cheat-engine-server-python

This server operates in READ-ONLY mode for safety. It can read and analyze memory but cannot modify it. All operations are logged for security auditing.