Search Results for author: Matt Ciolino

Found 7 papers, 1 papers with code

Evaluating AI Vocational Skills Through Professional Testing

no code implementations17 Dec 2023 David Noever, Matt Ciolino

GPT-3, even without any fine-tuning or exam preparation, managed to achieve a passing score (over 70% correct) on 39% of the professional certifications.

Professional Certification Benchmark Dataset: The First 500 Jobs For Large Language Models

no code implementations7 May 2023 David Noever, Matt Ciolino

It compares the performance of two AI models, GPT-3 and Turbo-GPT3. 5, on a benchmark dataset of 1149 professional certifications, emphasizing vocational readiness rather than academic performance.

The Turing Deception

no code implementations9 Dec 2022 David Noever, Matt Ciolino

This research revisits the classic Turing test and compares recent large language models such as ChatGPT for their abilities to reproduce human-level comprehension and compelling text generation.

Question Answering Text Generation

Soft-labeling Strategies for Rapid Sub-Typing

no code implementations23 Sep 2022 Grant Rosario, David Noever, Matt Ciolino

The challenge of labeling large example datasets for computer vision continues to limit the availability and scope of image repositories.

object-detection Object Detection

Local Translation Services for Neglected Languages

no code implementations5 Jan 2021 David Noever, Josh Kalin, Matt Ciolino, Dom Hambrick, Gerry Dozier

Taking advantage of computationally lightweight, but high-quality translators prompt consideration of new applications that address neglected languages.

Sentence Translation

The Chess Transformer: Mastering Play using Generative Language Models

2 code implementations2 Aug 2020 David Noever, Matt Ciolino, Josh Kalin

This work demonstrates that natural language transformers can support more generic strategic modeling, particularly for text-archived games.

Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures

no code implementations3 Jan 2020 David Noever, Wes Regian, Matt Ciolino, Josh Kalin, Dom Hambrick, Kaye Blankenship

Small satellite constellations provide daily global coverage of the earth's landmass, but image enrichment relies on automating key tasks like change detection or feature searches.

Change Detection Descriptive +4

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