Szczegóły publikacji
Opis bibliograficzny
Integration of Polish Large Language Models for smart home automation / Michał PIKUS, Jarosław WĄS, Agata Kozina // W: Advances in artificial intelligence research : proceedings of the 6th Polish conference on Artificial Intelligence, PP-RAI 2025, Katowice, Poland, 7–9 April, 2025 / eds. Beata Zielosko, [et al.]. — Cham : Springer Nature Swizterland, cop. 2026. — ( Lecture Notes in Networks and Systems ; ISSN 2367-3370 ; vol. 1599 ). — ISBN: 978-3-032-04196-8; e-ISBN: 978-3-032-04197-5. — S. 241–251. — Bibliogr., Abstr. — Publikacja dostępna online od: 2026-01-02
Autorzy (3)
- AGHPikus Michał
- AGHWąs Jarosław
- Kozina Agata
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 165506 |
|---|---|
| Data dodania do BaDAP | 2026-02-19 |
| DOI | 10.1007/978-3-032-04197-5_19 |
| Rok publikacji | 2026 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Lecture Notes in Networks and Systems |
Abstract
This paper presents a comprehensive study on integrating large language models (LLMs) with modern smart home automation systems. Building upon the foundation provided by the home-llm project, our approach leverages Home Assistant as the central automation platform while interfacing directly with state of the art LLMs, Polka 1.1B and Bielik 11Bv2. Additionally, we explore the potential of using Boneio controllers based on the ESP32 microcontroller as a dedicated execution layer, bridging the gap between digital command processing and physical device control. Furthermore, we introduce a finetuning methodology using a custom dataset generated via a proprietary prompt generator, enabling the creation of over 10,000 sample prompts. Polka 1.1B based model is finetuned using a standard process, while Bielik 11Bv2 is adapted using the Low-Rank Adaptation (LoRA) technique. This work outlines a unique, scalable architecture that enhances natural language command interpretation and achieves efficient realtime execution in smart home environments.
