Search Results for author: Simon Frieder

Found 7 papers, 4 papers with code

Large Language Models for Mathematicians

no code implementations7 Dec 2023 Simon Frieder, Julius Berner, Philipp Petersen, Thomas Lukasiewicz

Large language models (LLMs) such as ChatGPT have received immense interest for their general-purpose language understanding and, in particular, their ability to generate high-quality text or computer code.

Language Models as a Service: Overview of a New Paradigm and its Challenges

no code implementations28 Sep 2023 Emanuele La Malfa, Aleksandar Petrov, Simon Frieder, Christoph Weinhuber, Ryan Burnell, Raza Nazar, Anthony G. Cohn, Nigel Shadbolt, Michael Wooldridge

This paper has two goals: on the one hand, we delineate how the aforementioned challenges act as impediments to the accessibility, replicability, reliability, and trustworthiness of LMaaS.

Benchmarking

Mathematical Capabilities of ChatGPT

2 code implementations NeurIPS 2023 Simon Frieder, Luca Pinchetti, Alexis Chevalier, Ryan-Rhys Griffiths, Tommaso Salvatori, Thomas Lukasiewicz, Philipp Christian Petersen, Julius Berner

We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, as well as hand-crafted ones, using a novel methodology.

Elementary Mathematics Math +2

Associative Memories via Predictive Coding

no code implementations NeurIPS 2021 Tommaso Salvatori, Yuhang Song, Yujian Hong, Simon Frieder, Lei Sha, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz

We conclude by discussing the possible impact of this work in the neuroscience community, by showing that our model provides a plausible framework to study learning and retrieval of memories in the brain, as it closely mimics the behavior of the hippocampus as a memory index and generative model.

Hippocampus Retrieval

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