How RAG work. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

Python code. by Alena Aliashkevich (19924120)

Python code for calculating diversity measures and correlations. by Niloufar Abhari (20384374)

Python Delimiters by Lorena A. Barba (97553)

Code interpreter with LLM. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

Photoelectron Metrology (LBNL Oct 2024) by Paul Hockett (100955)

Subjects:

Datasets To EVAL. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

Statistical significance test results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

OpenBookQA experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

AI2_ARC experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

TQA experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

E-EVAL experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

TQA Accuracy Comparison Chart on different LLM. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

ScienceQA experimental results. by Jin Lu (428513)

“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”

Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

Subjects:

Python code for a stratified random sampling of circular economy indicators by Zahir Barahmand (18008947)

Using Docker images to promote cross-language (Python, R) collaboration across diverse user platforms for cloud computing by Elizabeth Holmes (16706432)

Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration. by satoshi hashimoto(橋本 郷史) (18851272)

“…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”

Source Code for the Hierarchical Key Assignment Scheme (HKAS) by Baris Celiktas (22804778)

Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository by Michael Hughes (8821646)

“…</p><p dir="ltr">This repository contains code to accompany the paper:</p><p><br></p><p dir="ltr">Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS</p><p><br></p><p dir="ltr">Consult the paper for further details and explanation of what is included in this repository.…”