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.
Fine-tuning Language Models for Business Tasks
Instructors: Reza Moradinezhad
Sponsored by Coursera Learning Team
Recommended experience
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.
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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.
What's included
13 videos6 readings1 assignment1 ungraded lab
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