Coursera Project Network
Automated Reasoning with GPT Assistant API: ReAct Agents
Coursera Project Network

Automated Reasoning with GPT Assistant API: ReAct Agents

Taught in English

Some content may not be translated

Manav Pandey

Instructor: Manav Pandey

Included with Coursera Plus

Guided Project

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

Intermediate level

Recommended experience

1.5 - 2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Interact with the OpenAI API to leverage the power of GPT-4 for your specific needs and use-case

  • Create an instance of GPT-4 that is capable of reasoning through complex logic and interacting with real time data

  • Learn about considerations relating to security and scaling when using large language models for business tasks

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Recently updated!

January 2024

Guided Project

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

Intermediate level

Recommended experience

1.5 - 2 hours
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. Leverage Typescript to create a connection to the OpenAI API

  2. Create an Assistant model with specific instructions for your specific business flow

  3. Let the Assistant interact with uploaded files and data, specific to your company use-case

  4. Create functions that contain specific logic that GPT-4 can call upon to perform algorithmic tasks and interact with real time data

  5. Learn about prompt-injections and LLM security methods, and discuss scaling considerations

Recommended experience

Experience developing software applications, and knowledge of object oriented programming fundamentals, and prompt engineering large language models

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Instructor

Manav Pandey
Coursera Project Network
1 Course158 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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