What Is Python Memory Management?
April 11, 2024
Article
(10 reviews)
Recommended experience
Intermediate level
Python programming (lists, arrays, functions) is essential
Familiarity with LLM models and Streamlit would be helpful
(10 reviews)
Recommended experience
Intermediate level
Python programming (lists, arrays, functions) is essential
Familiarity with LLM models and Streamlit would be helpful
Learn the implementation of Langchain and how it interfaces with language models for text summarization.
Utilize GPT models and prompt template within the Langchain framework for extracting key information from large documents.
Gain proficiency in designing user-friendly interfaces by using Streamlit, integrating Langchain-based summarization capabilities for practical use.
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Only available on desktop
In this guided project, you will learn the art of text summarization using the well-known GenAI framework, Langchain, and transform it into a practical, real-world web application with Streamlit. During this hands-on experience, we will encapsulate vast volumes of text into concise and coherent summaries by harnessing the power of GPT models and prompt template resided within the Langchain framework.
You will familiarize yourself with Langchain's architecture, it's underlying components and how they can be integrated with a summarizer function. Additionally, you'll learn how to integrate Langchain-powered summarization capabilities into a user-friendly, interactive web app, making your summarization skills accessible to a broader audience. This course is aimed at Python developers who are looking to get started with text summarization using GenAI. Familiarity with Python programming language including skills in creating lists, arrays, and functions is essential. Some experience with LLM interactions and prompt engineering would be useful as would some prior use of Streamlit.
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Install and setup of Langchain
Define the summarize pdf function
Practice activity: Experiment with different Chain method
Add Prompt template to the summarize function
Practice activity: Experiment with different prompts
Build and test a GenAI app for PDF summarization
Cumulative Activity
Python programming (lists, arrays, functions) is essential
Familiarity with LLM models and Streamlit would be helpful
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Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
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Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.
You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.