Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming

Fuente: arXiv
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Bibliographic Details
Main Authors: Alt, Benjamin, Keßner, Urs, Taranovic, Aleksandar, Katic, Darko, Hermann, Andreas, Jäkel, Rainer, Neumann, Gerhard
Format: Preprint
Published: 2023
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_version_ 1866910416532144128
author Alt, Benjamin
Keßner, Urs
Taranovic, Aleksandar
Katic, Darko
Hermann, Andreas
Jäkel, Rainer
Neumann, Gerhard
author_facet Alt, Benjamin
Keßner, Urs
Taranovic, Aleksandar
Katic, Darko
Hermann, Andreas
Jäkel, Rainer
Neumann, Gerhard
contents Industrial robots are applied in a widening range of industries, but robot programming mostly remains a task limited to programming experts. We propose a natural language-based assistant for programming of advanced, industrial robotic applications and investigate strategies for domain-specific fine-tuning of foundation models with limited data and compute.
format Preprint
id arxiv_https___arxiv_org_abs_2312_13905
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
Alt, Benjamin
Keßner, Urs
Taranovic, Aleksandar
Katic, Darko
Hermann, Andreas
Jäkel, Rainer
Neumann, Gerhard
Robotics
Artificial Intelligence
Computation and Language
Human-Computer Interaction
Machine Learning
68T40
I.2.9; I.2.5; I.2.6; I.2.7
Industrial robots are applied in a widening range of industries, but robot programming mostly remains a task limited to programming experts. We propose a natural language-based assistant for programming of advanced, industrial robotic applications and investigate strategies for domain-specific fine-tuning of foundation models with limited data and compute.
title Domain-Specific Fine-Tuning of Large Language Models for Interactive Robot Programming
topic Robotics
Artificial Intelligence
Computation and Language
Human-Computer Interaction
Machine Learning
68T40
I.2.9; I.2.5; I.2.6; I.2.7
url https://arxiv.org/abs/2312.13905