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

Asynchronous Federated Learning Through Online Linear Regressions

Abstract: In the practical scenario of Federated Learning (FL), clients upload their local model to a server at different times owing to heterogeneity in the clients’ device environment. Therefore, ...
GitHub

Linear Regression Practice Using Python

Linear Regression Practice Using Python This study involves practical application of regression analysis, as covered in the Google Advanced Data Analytics course. For more information, you may refer ...
Hosted on MSN

Python physics: Create a linear regression function using VPython

Python Physics: Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results ...
National Bureau of Economic Research

Linear Regressions with Combined Data

We study linear regressions in a context where the outcome of interest and some of the covariates are observed in two different datasets that cannot be matched. Traditional approaches obtain point ...
C&EN

Prediction of Thermochemical Properties of Long-Chain Alkanes Using Linear Regression: Application to Hydroisomerization

Please note: If you switch to a different device, you may be asked to login again with only your ACS ID. Please note: If you switch to a different device, you may be asked to login again with only ...
marktechpost

A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...
IEEE

Sparse Linear Arrays for Direction-of-Arrival Estimation: A Tutorial Overview

Abstract: Sparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance. Due to the merit of ...