CITATION.cff

cff-version: 1.2.0
title: >-
  Using Tree-of-Thought Prompting to boost ChatGPT's
  reasoning
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Dave
    family-names: Hulbert
    orcid: 'https://orcid.org/0000-0003-0238-440X'
identifiers:
  - type: doi
    value: 10.5281/zenodo.10323452
repository-code: 'https://github.com/dave1010/tree-of-thought-prompting'
url: >-
  https://medium.com/@dave1010/using-tree-of-thought-prompting-to-boost-chatgpts-reasoning-318914eb0e76
abstract: >-
  Tree-of-Thought (ToT) Prompting, a fresh technique
  borrowing ideas from the Tree-of-Thoughts framework,
  broadens and enhances the well-established
  Chain-of-Thought prompting concept, thereby enabling Large
  Language Models, like ChatGPT, to exhibit superior
  reasoning abilities. This Tree-of-Thought Prompting
  technique permits Large Language Models to rectify their
  errors autonomously while progressively accumulating
  knowledge.
keywords:
  - prompting
  - large language models
  - chain of thought
  - tree of thought
license: MIT
commit: 109c7cd7c6255d95c40ef96c80d4cbdd83023f3e
version: '0.1'
date-released: '2023-05-22'