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AI Mapping Service for APIs: A Research Opportunity
vor 1 Monat
Experience:
Bachelor- / Masterthesis
Accelerating business to improve the lives of people. This is our purpose statement and encapsulates what we enthusiastically do every day. We integrate our customers IT systems to make sure that the right data is at the right place at the right time when they digitalize their processes.
Our success story began in the field of digitalizing paper-based supply chains. Today, SEEBURGER is a leading global B2B software provider with innovative solutions.
Topic
AI Mapping Service for APIs
Motivation and goals
APIs play a central role in the integration of applications. Interface descriptions enable the automatic generation of calls. Different interface descriptions can be mapped to each other. E.g. they can have the same elements but with different identifiers (e.g. street or street). Transformer models enable various NLP tasks like translations, summaries, query rewriting or code completion. With an AI mapping the same call should be used for different interfaces. The goal of this work is to develop a mapping service for interface descriptions.
Tasks
- Investigation and evaluation of the transformer technology for mapping or modification of interface descriptions
- Development and implementation of the AI Mapper and a service that modifies the call and serves different interfaces
- Build a corpus of different interface descriptions and demonstrate the system in appropriate scenarios
- Develop criteria for evaluating the system
An AI computer with 4 Nvidia GPUs can be used for the work.
Location: Karlsruhe and/or Bretten
