Scholarlink

Following the great success of LLMs, the so-called reasoning models are now also gaining ground. These are specially optimized LLMs that are capable of deeply engaging with a question within a given context before providing an appropriate answer. This chapter first provides a general overview of reasoning models and their functionality, then discusses the specifics of prompting, and introduces a prompt framework for reasoning models.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Reasoning Models

  • 章节

  • 发表日期：

    2025年

查看全文
  • Daniel Koch,
  • Andreas Kohne,
  • Nils Brechbühler

摘要

Following the great success of LLMs, the so-called reasoning models are now also gaining ground. These are specially optimized LLMs that are capable of deeply engaging with a question within a given context before providing an appropriate answer. This chapter first provides a general overview of reasoning models and their functionality, then discusses the specifics of prompting, and introduces a prompt framework for reasoning models.