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  • Introduction
  • ๊ธฐ์กด ๋‚ด์šฉ์„ ๊ธฐ์–ต๋ชปํ•˜๋Š”์ง€ ํ™•์ธ

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  1. AI
  2. langchain

memory

Introduction

๋ฉ”๋ชจ๋ฆฌ๊ฐ€ ์—†์œผ๋ฉด ์ณ‡๋ด‡์€ ๊ธฐ์–ต์„ ํ• ์ˆ˜ ์—†์œผ๋ฏ€๋กœ ์งˆ๋ฌธ์„ ์ด์–ด์„œ ๋ฌผ์–ด๋ด๋„ ํ•ญ์ƒ ์ฒ˜์Œ ๋Œ€ํ™”ํ•˜๋Š”๊ฒƒ์ด ๋œ๋‹ค.

openai๋Š” api๋Š” ํ˜„์žฌ ๋ฉ”๋ชจ๋ฆฌ๋ฅผ ์ง€์›ํ•˜์ง€ ์•Š๋Š”๋‹ค. (stateless)

๊ทธ๋Ÿฐ๋ฐ chatgpt๋Š” ์ง€์›ํ•œ๋‹ค.

์•ž์œผ๋กœ ์ง€์›ํ•˜๊ฒŸ์ง€. ์•„๋ฌดํŠผ ํ˜„์žฌ๋Š” ์ง€์›ํ•˜์ง€ ์•Š์•„์„œ ๋žญ์ฒด์ธ์œผ๋กœ ๋ฉ”๋ชจ๋ฆฌ๋ฅผ ๊ตฌํ˜„ํ•œ๋‹ค.

from dotenv import load_dotenv
load_dotenv()

from langchain_openai import ChatOpenAI
llm = ChatOpenAI(temperature=0)

๊ธฐ์กด ๋‚ด์šฉ์„ ๊ธฐ์–ต๋ชปํ•˜๋Š”์ง€ ํ™•์ธ

from langchain.prompts import PromptTemplate

template = "๋‚ด ์ด๋ฆ„์€ brian ์ด์•ผ. "

llm.invoke(template)
template = "๋‚ด ์ด๋ฆ„์ด ๋ญ์•ผ? "

llm.invoke(template)

ํ™•์ธํ•˜์ง€ ๋ชปํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋ฏ€๋กœ prompt์—์„œ ๊ธฐ์กด ๋‚ด์šฉ์„ ์ถ”๊ฐ€ํ•ด์„œ ๋ณด๋‚ด์ค˜์•ผํ•œ๋‹ค.

์—ฌ๊ธฐ์„œ ๊ธฐ์กด๋‚ด์šฉ์„ ์–ด๋–ป๊ฒŒ ๋งŒ๋“œ๋Š”์ง€๊ฐ€ ์ค‘์š”ํ•˜๋‹ค.

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