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URL: https://www.coursera.org/learn/fine-tuning-language-models-for-business-tasks

⇱ Fine-tuning Language Models for Business Tasks | Coursera


Fine-tuning Language Models for Business Tasks

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Analyze key concepts of Large Language Models, Evolution of Language AI, and fine-tuning.

  • Identify and analyze how to use LLMs Fine-Tuning for business-specific tasks.

  • Apply LLM fine-tuning to create your own custom model.

  • Evaluate the future of LLMs for business use cases and stay updated with the latest trends in Language AI.

Details to know

Shareable certificate

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Assessments

1 assignment

Taught in English

Build your subject-matter expertise

This course is part of the Harnessing LLMs: Strategy, Fine-Tuning & Evaluation Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses to stay competitive. The course covers foundational concepts, the background of LLMs, current uses in various industries, and a glimpse into future possibilities. Through real-life examples, learners will see how fine-tuning LLMs can lead to more efficient, personalized, and innovative business solutions.

Main Outcome and Takeaways: 1. Review and apply different LLMs and tools to fine-tune a model for business-specific tasks for making better use of AI in your own business growth. 2. Comprehend LLM Fundamentals: Understand the basics of LLMs and the significance of fine-tuning. (Knowledge) 3. Analyze Business Applications: Evaluate how LLM fine-tuning is applied in different business scenarios. (Analysis) Develop Fine-Tuning Strategies: Create strategies for fine-tuning LLMs to meet specific business needs. (Application) Forecast Future Trends: Anticipate and plan for future developments in LLM technology in business contexts. (Evaluation)

This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses to stay competitive. The course covers foundational concepts, the background of LLMs, current uses in various industries, and a glimpse into future possibilities. Through real-life examples, learners will see how fine-tuning LLMs can lead to more efficient, personalized, and innovative business solutions.

What's included

13 videos6 readings1 assignment1 ungraded lab

13 videosβ€’Total 71 minutes
  • Introduction and Welcome β€’5 minutes
  • Introduction to LLMs β€’4 minutes
  • Evolution of Language AI β€’5 minutes
  • Understanding Fine-Tuning β€’6 minutes
  • Customizing AI for Your Business β€’4 minutes
  • Case Studies: Success Stories β€’4 minutes
  • Measuring Impact β€’5 minutes
  • Strategy Development β€’5 minutes
  • Overcoming Challenges β€’4 minutes
  • Tools and Resources β€’5 minutes
  • Predicting Trends β€’9 minutes
  • Staying Ahead β€’7 minutes
  • Ethics and Considerations β€’7 minutes
6 readingsβ€’Total 27 minutes
  • Welcome to the Course: Course Overviewβ€’5 minutes
  • An Overview of LLMs β€’5 minutes
  • [Optional] The Generative AI Lab Playgroundβ€’2 minutes
  • Insights on LLM Applications in Business β€’5 minutes
  • A Practical Guide to LLM β€’5 minutes
  • Exploring the Future of AI in Business β€’5 minutes
1 assignmentβ€’Total 30 minutes
  • Final Assessmentβ€’30 minutes
1 ungraded labβ€’Total 60 minutes
  • [Optional] Access Your GPT GenAI Playgroundβ€’60 minutes

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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