marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
IEEE

Learning Tendency Discovery with a Two-Stage Generalized Regression Model

Abstract: Analyzing learning behaviors is growing in importance. This is due to the development of online on-demand education. Many studies predict learner performance. However, discovering individual ...
ePHOTOzine

Photography Techniques

From lens focal lengths and fill-flash to portraits, macro or stunning landscapes there are techniques for everyone. Learn how to use metering, considering composition and shoot everything from ...
Frontiers

Multimodal connectivity-based cortical segmentation with graph neural networks

Due to the significant amount of time and expertise needed for manual segmentation of the brain cortex from magnetic resonance imaging (MRI) data, there is a substantial need for efficient and ...
GitHub

Double Machine Learning and Cross-Fitting for Causal Credit Effects

This repository contains the project “Double Machine Learning and Cross-Fitting for Causal Credit Effects”, which applies modern causal machine learning methods to estimate the causal impact of ...
GitHub

Aardon97/Logistic-Regression-Project-Tutorial-Project---Abraham

This boilerplate is designed to kickstart data science projects by providing a basic setup for database connections, data processing, and machine learning model development. It includes a structured ...