# Better Software for All: Using LLMs to Improve Software Development Practices

- **År:** 2024
- **Type:** Foredrag (NVA: Lecture)
- **Publiseringssted:** dScience Lunch seminar
- **Forfattere:** Antonio Martini, Karthik Shivashankar
- **Open access:** https://hdl.handle.net/11250/4044542
- **Cristin:** https://app.cristin.no/results/show.jsf?id=2295929

## Forskere med profil på nettstedet
- [Antonio Martini](https://research.lab.knowit.no/people/#antonio-martini) ([markdown](https://research.lab.knowit.no/people/antonio-martini.md))
- [Karthik Shivashankar](https://research.lab.knowit.no/people/#karthik-shivashankar) ([markdown](https://research.lab.knowit.no/people/karthik-shivashankar.md))

## Abstract

The use of AI is becoming ubiquitous. In software development for example, tasks can be (semi)-automated using AI and software organizations already report benefits from using AI. In our work, we have focused on improving the quality of software by creating fine-tuned models that can aid software practitioners in some key tasks. We will show how we created such models, how they might be a better choice than using out-of-the-shelf LLMs such as ChatGPT, and when we are with their practical application in software organizations.

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