2. zero-shot-react-description 原理: 2.1 zero-shot学习介绍: Zero-shot学习是一种机器学习技术,旨在通过使用预训练的模型来进行泛化,即使在面对没有事先见过的任务或数据时也能够进行准确的预测和推理。传统的机器学习模型需要针对每个特定任务进行训练,而zero-shot学习能够在没有训练数据的情况下快速适应新任务。
STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION 是什么如何用 structure什么意,C语言提供两种结合不同类型的对象来创建数据类型的机制:结构(structure),用关键字struct声明,将多个对象集合到一个单元中;联合(union),用关键字union声明,允许用几种不同的类型来引用
.github agents self-ask-with-search zero-shot-react-conversation zero-shot-react-description README.md agent.json zero-shot-react-sql README.md readme_template.md chains ci_scripts prompts Makefile README.mdBreadcrumbs langchain-hub /agents /zero-shot-react-description / agent.json...
However, STRUCTURED_CHAT_ZERO_SHOT_REACT_DESCRIPTION is slower than LLMSingleActionAgent and hence the latter is good at completing specific tasks quickly. As for the question where should one use these agents, LLMSingleActionAgent should be used when you have to complete a specific task quickly...