Large language models on neuromorphic hardware

We will discuss large language models from various neuromorphic perspectives:

  • implementation in hardware (inference)

  • few-shot learning / in-context learning

  • alternative model design suited for neuromorphic devices

What we will not discuss:

  • training (online/offline)

  • ethics

  • Is it really intelligent?


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Day Time Location
Fri, 05.05.2023 16:00 - 17:30 Lecture room


Jens Egholm Pedersen
Mihai Petrovici
Mark Schoene