14.01.2024
©Oliver Jung - LMU
Polyglot Machines - How Artificial Intelligence Learns the Rich Variety of Human Languages
Insights From Hinrich Schütze in LMU Research Magazine Einsichten
In this article our PI Hinrich Schütze shares insights into the challenges of automatic translation using AI technology.
The focus lies on the difficulty of training AI models to handle various languages, especially those with limited training data. Professor Schütze also emphasizes current issues such as bias and hallucinations in AI, working on integrating a "Working Memory" to enhance factual accuracy in responses and enable more effective use of AI in language processing.
«In our field, we’re living in fascinating times. Suddenly, intelligences have developed that nobody can really explain.»
(H. Schütze)
Related
09.04.2026
Nikita Araslanov Receives Prestigious Emmy Noether Grant
Nikita Araslanov, MCML Junior Member, awarded Emmy Noether Grant to establish an independent AI research group at TUM.
