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Developing Domain-Specific LLM-based Agents for Automated Model Generation and Autonomous Product Configuration at Ciena
This research project will leverage Large Language Models to automatically read and interpret network product documentations, generating structured information that can help automate the configuration of network products with minimal human effort. By automating these time-consuming tasks, the project aims to help engineers accelerate their product setup process, reduce the risk of manual errors, and ensure consistent configuration across extensive product lines. These outcomes will undergo rigorous industrial validation, yielding high-impact publications, and setting a new standard for software engineering automation related in analysing complex technical documents.
Faculty Supervisor:
Shiva Nejati;Mehrdad Sabetzadeh
Student:
Partner:
Ciena Canada (Ottawa, ON)
Discipline:
Computer science
Sector:
Information and cultural industries; Manufacturing
University:
University of Ottawa
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.