LangChain v0.3 — Getting Started

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LangChain is one of the most popular open-source libraries for AI Engineers. Its goal is to abstract away the complexity of building AI software, provide easy-to-use building blocks, and facilitate switching between AI service providers. In this chapter, we will introduce LangChain by building a simple LLM-powered assistant. 📌 Full Course: https://www.aurelio.ai/course/langchain ➤ Repo: https://github.com/aurelio-labs/langchain-course 📖 Article: https://www.jamesbriggs.io/langchain-intro 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ #ai #coding #aiagents #langchain 00:00 Getting Started with LangChain 00:46 Local Setup 03:32 Colab Setup 04:43 Initializing our OpenAI LLMs 09:06 LLM Prompting 10:31 LangChain Prompt Templates 15:20 Creating a LLM Chain with LCEL 20:31 Another Text Generation Pipeline 23:43 Structured Outputs in LangChain 28:27 Image Generation in LangChain

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Makers residency 4th edition

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Makers residency 4th edition
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Makers residency 4th edition
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