Coursera Project Network
GenAI Summarization with Langchain: Summarize Text Documents
Coursera Project Network

GenAI Summarization with Langchain: Summarize Text Documents

Taught in English

Soumava Dey

Instructor: Soumava Dey

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

90 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • 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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Recently updated!

February 2024

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Intermediate level

Recommended experience

90 minutes
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Install and setup of Langchain

  2. Define the summarize pdf function

  3. Practice activity: Experiment with different Chain method

  4. Add Prompt template to the summarize function

  5. Practice activity: Experiment with different prompts

  6. Build and test a GenAI app for PDF summarization

  7. Cumulative Activity

Recommended experience

Python programming (lists, arrays, functions) is essential

Familiarity with LLM models and Streamlit would be helpful

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Instructor

Soumava Dey
Coursera Project Network
2 Courses339 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    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.

  • No downloads or installation required

    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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