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How RAG work.
Published 2025“…<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. …”
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Entropy Scaling of Viscosity IVApplication to 124 Industrially Important Fluids
Published 2025Subjects: -
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Photoelectron Metrology (LBNL Oct 2024)
Published 2024“…The work is enabled by various tools on both the theory and experimental side; recent work has focussed on the development of a suite of open-source python tools - the Photoelectron Metrology Toolkit - and application to various problems, and this will form the main topic of the talk. …”
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Real-Time Optical Imaging Acquisition and Processing in Python: A Practical Guide Using CAS: Code Repository
Published 2025“…By providing an open-source and flexible Python-based solution, CAS can support research teams to more quickly develop real-time imaging systems.…”
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System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool
Published 2024“…</li></ul><h2>Integration with Other Tools</h2><p dir="ltr">The System Hardware ID Generator Script is part of the broader suite of tools offered by the <a href="https://xn--mxac.net/" target="_blank">Alpha Beta Network</a>, dedicated to enhancing security and performance in <a href="https://xn--mxac.net/" target="_blank">Python programming</a>.</p><ul><li>For advanced <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Python code protection tools</a>, consider using the <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">Local Python Code Protector Script</a>. …”
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Flowchart describing the AI-LES program.
Published 2025“…Tools exist to automate the retrieval of relevant journal articles, but pulling data out of those articles is currently still a manual process. In this article, we present a proof-of-concept Python program that leverages artificial intelligence (AI) tools (specifically, ChatGPT) to parse a batch of journal articles and extract relevant results, greatly reducing the human time investment in this action without compromising on accuracy. …”
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2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures
Published 2025“…The code offers insight into the workflows and their resulting outputs; it demonstrates the methodologies presented in this work and helps to illustrate key implementation concepts. …”
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Engineering Various Components of a Magneto-Optical Trap and Simulation of Ultracold Atoms in a Harmonic Potential for the Formation of Bose-Einstein Condensate
Published 2025“…<p dir="ltr">This work presents the designing various components of a Magneto-Optical Trap and simulations of ultracold lithium atoms. …”
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py-rocket: A Docker image to promote cross-language (Python, R) collaboration across diverse user platforms for cloud computing in the earth sciences
Published 2025“…</p><p><br></p><p dir="ltr">A sturdy Docker stack relies on a solid base image. Here we present work on the py-rocket base image and illustrate how this enhances collaboration while providing familiar IDEs and environments to both R and Python users. …”
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Datasets To EVAL.
Published 2025“…<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. …”
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Statistical significance test results.
Published 2025“…<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. …”
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OpenBookQA experimental results.
Published 2025“…<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. …”
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AI2_ARC experimental results.
Published 2025“…<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. …”