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Research

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Jeanne

About


X
Github
Huggingface
SubstackComputer & electrical engineer & creative.

Based in Montreal, 
Quebec, Canada





Research interests 
(unfinished & exploratory):

Compression techniques.
Hybrid realm quantum classical computing algorithms.
Classical and quantum based formalisms.
Steganography and Subliminal learning.
Uncertainty literature.
Eastern ways and philosophy


Eighteen hours of movie soundtracks

1

Frequency based linguistic message sending experiments
2025

2

Separability with PCA visualizations of periodicity patterns in text
2025

3
Pasqal quantum cloud emulator experiments
2025

4
Finetuning my own voice to voice model
2023

5
Perspective
A screenshot RUST app
2025

6

Contextualize
GPT-3 research app
2020


7

Novelty generator
A new research app
2025


8

ETH global Waterloo
2023

9
Quaintance AI
Image recognition app
2018


10

Bumpin
Quantum AI dating
2017

11

Vlyy 
Video app
2014

12

Ungraduate university TCP peer to peer server and client project
2005

13

Mintmtl
2022

14

Energy 
Grants collective on Zora
2023

15
The S.W.A.P. Team
2014    

Contextualize


2025

A context-based recommendation engine built on GPT-3, OPEN AI’s then most advanced natural language model. 

I built this to call the GPT-3 API in 3 different ways. The aim was to give context to a topic by training GPT-3 to think and speak like three different persons.

This was accepted for demonstration as one of the first GPT-3 demos presented to Pioneer.app in 2020 as part of “The First Open GPT-3 Demo Day” (Watch at approximately 41:50). The prototype was submitted as a “contextual reference recommendation engine using gpt-3” meant to serve as a research tool. 

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