The course covers basics of LLMs and Langchain, utilizing prompt templates, different types of chains, and leveraging Langchain for LLM application development.
Beginner
15 Lessons
2h
Certificate of Completion
The course covers basics of LLMs and Langchain, utilizing prompt templates, different types of chains, and leveraging Langchain for LLM application development.
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This course includes
This course includes
Course Overview
LangChain is an open-source framework that facilitates the integration of large language models (LLMs) to develop LLM-powered applications. You’ll start with an introduction to LLMs and the LangChain framework. Next, you’ll learn how to utilize prompt templates to perform repetitive tasks and parse the output of an LLM. You’ll also learn about different types of chains with their use cases. Additionally, you’ll cover different memory types in LangChain to store the chat history. You’ll also learn how to c...
What You'll Learn
An understanding of large language models and why they are preferred in natural language processing tasks
An understanding of the LangChain framework and how it improves over the functionalities of OpenAI
Familiarity with the core components of LangChain, including models, prompt templates, output parsers, chains, and memory
Hands-on experience implementing a chatbot that responds to queries in multiple languages using the router chain in LangChain
The ability to add tools in agents that connect to external information sources through APIs and use the reasoning and action (ReAct) technique
Working knowledge of the retrieval-augmented generation (RAG) technique to implement question answering from a document
What You'll Learn
An understanding of large language models and why they are preferred in natural language processing tasks
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Course Content
Large Language Models
Introduction to LangChain
LangChain Basics
Advanced Features of LangChain
Wrapping Up
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