all AI news
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. (arXiv:2211.12588v1 [cs.CL])
Nov. 24, 2022, 7:18 a.m. | Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
cs.CL updates on arXiv.org arxiv.org
Recently, there has been significant progress in teaching language models to
perform step-by-step reasoning to solve complex numerical reasoning tasks.
Chain-of-thoughts prompting (CoT) is by far the state-of-art method for these
tasks. CoT uses language models to perform both reasoning and computation in
the multi-step `thought' process. To disentangle computation from reasoning, we
propose `Program of Thoughts' (PoT), which uses language models (mainly Codex)
to express the reasoning process as a program. The computation is relegated to
an external computer, …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Principal Engineer, Deep Learning
@ Outrider | Remote
Data Analyst (Bangkok based, relocation provided)
@ Agoda | Bangkok (Central World Office)
Data Scientist II
@ MoEngage | Bengaluru
Machine Learning Engineer
@ Sika AG | Welwyn Garden City, United Kingdom