- 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
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Master Thesis: AI Mapping Service for APIs - Bretten, Deutschland - SEEBURGER
Beschreibung
Experience:
Bachelor- / MasterthesisAccelerating 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. Companies need their systems to talk to each other to ensure that cars roll off the factory line, that everyone receives their payments on time, and that you can buy what you need from a supermarket.
Our success story began in , when we helped the German automotive industry to digitalize their paper-based supply chains. Today, SEEBURGER is a leading global B2B software provider with more than 1, #businessaccelerators in 15 countries worldwide and over 10, satisfied customers that rely on our 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
An AI computer with 4 Nvidia GPUs can be used for the work.
Location: Karlsruhe and/or Bretten
