Python code. by Alena Aliashkevich (19924120)

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. …”

Entropy Scaling of Viscosity IVApplication to 124 Industrially Important Fluids by Viktor Martinek (20542203)

Subjects:

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

“…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. …”

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

“…By providing an open-source and flexible Python-based solution, CAS can support research teams to more quickly develop real-time imaging systems.…”

Flowchart describing the AI-LES program. by Evan Mitchell (20995743)

“…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. …”

2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures by Nektarios Valous (20715650)

“…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. …”

Engineering Various Components of a Magneto-Optical Trap and Simulation of Ultracold Atoms in a Harmonic Potential for the Formation of Bose-Einstein Condensate by Rahul Das (22607879)

“…<p dir="ltr">This work presents the designing various components of a Magneto-Optical Trap and simulations of ultracold lithium atoms. …”

Pyramidal neuron spiking behaviour is either switched or scaled. by Domenico Guarino (20428000)

Dentate granule cells have polarised responses to neuromodulators switch spiking behaviour under neuromodulation. by Domenico Guarino (20428000)

How neuromodulators control the excitability of neurons. by Domenico Guarino (20428000)

py-rocket: A Docker image to promote cross-language (Python, R) collaboration across diverse user platforms for cloud computing in the earth sciences by Eli Holmes (20363193)

“…</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. …”

A Quick Guide to Prompt Engineering: Using Generative AI Wisely in Learning and Work by Uce Indahyanti (21324434)

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

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. …”