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is of Complex Robotics Systems: Since the publication of ChatGPT, the huge potential of large language models and generative AI in general to efficiently solve a wide range of tasks has become evident. Crucially, these models can be trained and fine-tuned on huge data corpora and then leverage the contained information as context when processing a new input. While the publicly available tools excel at general purpose tasks such as text generation and analyzing problems or errors in popular programming languages, they perform much worse on more specialized tasks which are barely or not at all represented in their training data. To address this issue, a range of techniques around fine-tuning and in-context learning have been proposed, which will form the core of this project. Depending on the candidate’s interests the thesis will focus on the Automated Analy-sis of System Diagnostics, the Automated Analysis of Controller Errors, a Copilot for RAPID or other. Details: • Start: asap for a period of 6 months • 30 ECTS per student • Suitable for 1-2 students • On site ABB Robotics (Finnslätten) in Västerås (exceptions can be made)
Recruiting Manager: Niklas Durinder (https://niklas.d.durinder@https://se.abb.com) and Jordis Herrmann (https://jordis.herrmann@https://se.abb.com) will answer your questions. Positions are filled continuously. Apply with your CV, academic transcripts and a cover letter in English via the ABB career page. We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website https://www.abb.com. #LI-hybrid