Search Results for author: Josef Pichlmeier

Found 4 papers, 1 papers with code

Expert Router: Orchestrating Efficient Language Model Inference through Prompt Classification

no code implementations22 Apr 2024 Josef Pichlmeier, Philipp Ross, Andre Luckow

Large Language Models (LLMs) have experienced widespread adoption across scientific and industrial domains due to their versatility and utility for diverse tasks.

Language Modelling

Quantum Computing: Towards Industry Reference Problems

no code implementations12 Mar 2021 Andre Luckow, Johannes Klepsch, Josef Pichlmeier

The complexity is increasing rapidly in many areas of the automotive industry.

Emerging Technologies

Evaluation of Parameterized Quantum Circuits: on the relation between classification accuracy, expressibility and entangling capability

1 code implementation22 Mar 2020 Thomas Hubregtsen, Josef Pichlmeier, Patrick Stecher, Koen Bertels

Quantum Machine Learning, and Parameterized Quantum Circuits in a hybrid quantum-classical setup in particular, could bring advancements in accuracy by utilizing the high dimensionality of the Hilbert space as feature space.

BIG-bench Machine Learning General Classification +2

Cannot find the paper you are looking for? You can Submit a new open access paper.