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Automate the Boring Stuff With Large Language Models

BeginnerGuided Project

Learn how to use Large Language Models (LLMs) to get more done in less time. Increase efficiency by automating boring, redundant tasks! In this guided project, you will learn how to use LLMs to cover more ground with just a bit of Python code. As an industry use case example, we will take on the role of a manager at a call center who wants to review call transcripts and produce feedback for agents that have fallen below expectations. While this is one specific use case, the same idea may be extended to countless applications!

4.8 (71 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Telecommunications

Enrollment Count

  • 675

Skills You Will Learn

  • Python, Artificial Intelligence, watsonx, watsonx.ai, LLM

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 60 Minutes

Platform

  • SkillsNetwork

Last Update

  • October 31, 2024
About this Guided Project
Large Language Models (LLMs) have become incredibly powerful tools that are capable of many things, including text classification, summarization, and generation. Lo and behold, millions of work-hours are put into boring tasks that consist of these three things! In this course, we will have a look at how we can automate these boring tasks using LLMs at an incomparably lower cost!

A Look at the Project Ahead

In this project, we'll be learning the following:
  • The capabilities and general use cases of LLMs
  • How to interact with LLMs using the IBM Watson Python API
  • How to use LLMs to solve otherwise long and boring tasks
  • How to scale our solutions

What You'll Need

Introductory Python knowledge (or access to the Python documentation)

Instructors

Efkan Serhat Goktepe

Developer | Architect

Efkan is a 4th year student in Computer Science at University of Toronto. Efkan is currently working at IBM as a Software Architect. Contact: efkan@ibm.com.

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Contributors

James Reeve

Software Engineer

Software Engineer working on infrastructure, security, and educational lab environments @ skills.network

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Bradley Steinfeld

Lover of technology and learning

I work for IBM. I like all tech, especially AI!

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Vicky Kuo

Data Scientist

I believe that success isn't just about individual milestones, but also about uplifting and encouraging others to reach their potential. This is why I'm passionate about combining my technical background with my eagerness to help people overcome technological hurdles and accelerate growth. When I’m not on the job, I love hiking with my two dogs or relaxing in a coffee shop. There's nothing better than having an insightful conversation over coffee, or even better, some volunteer work! Please feel free to reach out to me on LinkedIn.

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