InfoWorld

How to choose the best LLM using R and vitals

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...
Scientific Research Publishing

R Core Team (2019) R: A Language and Environment for Statistical Computing (Version 3.6.1). R Foundation for Statistical Computing.

ABSTRACT: This study examined the influence of holistic transformation on community development in Eastern Uganda. The study was guided by three specific objectives: to assess the influence of ...
Journal of Medical Internet Research

How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...
IEEE

Exploring Large Language Model-Driven Agents for Environment-Aware Spatial Interactions and Conversations in Virtual Reality Role-Play Scenarios

Abstract: Recent research has begun adopting Large Language Model (LLM) agents to enhance Virtual Reality (VR) interactions, creating immersive chatbot experiences. However, while current studies ...
GitHub

A beginner-friendly, hands-on tutorial for learning Large Language Model (LLM) training optimization techniques.

This project provides a minimal, easy-to-understand codebase for fine-tuning Large Language Models. Our core philosophy is to explain complex optimization techniques with the simplest possible code.
GitHub

LENGDEVID/Life_Expectancy_Regression

This project implements multiple regression techniques to analyze life expectancy across 193 countries from 2000-2015. We apply classical Ordinary Least Squares (OLS) alongside modern regularization ...