LangChain - 1.1 Model I/O Concept

 

참조 : https://python.langchain.com/docs/modules/model_io/concepts

Concepts | 🦜️🔗 Langchain

 

Concepts

Group	Item	Desc	Others
Model	LLMs	LLMs in LangChain refer to pure text completion models.
	Chat Models	Chat models are often backed by LLMs but tuned specifically for having conversations.
	Cosideration	These two API types have pretty different input and output schemas. In particular, the prompting strategies for LLMs vs ChatModels may be quite different. Different models have different prompting strategies  - Anthropic's models work best with XML - while OpenAI's work best with JSON
Messages	HumanMessage	Messge from user
	AIMessage	Message from the model
	SystemMessage	Only some model support
	FunctionMessage	The inputs to language models
Prompt	PromptValue
	PromptTemplate
	MessagePromptTemplate	HumanMessagePromptTemplate AIMessagePromptTemplate SystemMessagePromtTemplate
	MessagPlaceholder	Oftentimes inputs to prompts can be a list of messages. This is when you would use a MessagesPlaceholder.
	ChatPromptTemplate
Output Parser	StrOutputParser	LLM = String ChatModel = message (.contents)
	OpenAI Functions Parsers
	Agent Output Parsers