함께 코드 따라하기
코드 따라하기 ↗Building AI Applications with LangChain and GPT
In the live training, you'll use LangChain to build a simple AI application, including preparing and indexing data, prompting the AI, and generating responses.
Emmanuel Pire
무료 계정 만들기
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Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련
튜토리얼
Building Context-Aware Chatbots: Leveraging LangChain Framework for ChatGPT
Explore how to build context-aware chatbots using the ChatGPT and LangChain framework.
Andrea Valenzuela• 15분
튜토리얼
How to Build LLM Applications with LangChain Tutorial
Explore the untapped potential of Large Language Models with LangChain, an open-source Python framework for building advanced AI applications.
Moez Ali• 12분
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Introduction to LangChain for Data Engineering & Data Applications
LangChain is a framework for including AI from large language models inside data pipelines and applications. This tutorial provides an overview of what you can do with LangChain, including the problems that LangChain solves and examples of data use cases.
Richie Cotton• 11분
Large language models (LLMs) like OpenAI GPT are revolutionizing every industry through their power to generate almost any text you can imagine. LangChain provides a software framework for incorporating LLM-based AI into your applications and data pipelines.
In the live training, you'll use LangChain to build a simple AI application, including preparing and indexing data, prompting the AI, and generating responses.
Key takeaways
Additional Resources
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