all AI news
Benchmarking ChatGPT on Algorithmic Reasoning
April 5, 2024, 4:42 a.m. | Sean McLeish, Avi Schwarzschild, Tom Goldstein
cs.LG updates on arXiv.org arxiv.org
Abstract: We evaluate ChatGPT's ability to solve algorithm problems from the CLRS benchmark suite that is designed for GNNs. The benchmark requires the use of a specified classical algorithm to solve a given problem. We find that ChatGPT outperforms specialist GNN models, using Python to successfully solve these problems. This raises new points in the discussion about learning algorithms with neural networks.
abstract algorithm arxiv benchmark benchmarking chatgpt cs.ai cs.cl cs.lg gnn gnns python raises reasoning solve specialist type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Consultant - Artificial Intelligence & Data (Google Cloud Data Engineer) - MY / TH
@ Deloitte | Kuala Lumpur, MY