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A Scalable and Adaptive System to Infer the Industry Sectors of
  Companies: Prompt + Model Tuning of Generative Language Models

A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models

5 June 2023
Le-le Cao
Vilhelm von Ehrenheim
Astrid Berghult
Cecilia Henje
Richard Anselmo Stahl
Joar Wandborg
S. Stan
Armin Catovic
Erik Ferm
Hannes Ingelhag
ArXivPDFHTML

Papers citing "A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models"

5 / 5 papers shown
Title
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems
Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems
Lele Cao
Gustaf Halvardsson
Andrew McCornack
Vilhelm von Ehrenheim
P. Herman
AI4TS
8
0
0
28 Sep 2023
AI for Investment: A Platform Disruption
AI for Investment: A Platform Disruption
Mohammad Rasouli
Ravi Chiruvolu
Ali Risheh
17
2
0
06 Sep 2023
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity
  Quantification
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
Le-le Cao
Vilhelm von Ehrenheim
Mark Granroth-Wilding
Richard Anselmo Stahl
Andrew McCornack
Armin Catovic
Dhiana Deva Cavalcanti Rocha
20
3
0
18 Jun 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
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