Quick Start Guide to Large Language Models (LLMs): Unit 2
By Coursera
on Coursera
· Data Science
About This Course
This course explores optimization, fine-tuning, and AI alignment. You'll gain hands-on experience with OpenAI's fine-tuning APIs, learning to customize models for specific needs across various domains, from research to business applications. Discover advanced prompt engineering techniques to refine and enhance model outputs, ensuring they align with human expectations and preferences. Through detailed case studies, you'll learn to create powerful recommendation engines using customized embeddings, outperforming standard solutions. Additionally, the course addresses the financial aspects of AI, demonstrating how to achieve superior performance without excessive costs.
Instructor
Pearson
Frequently Asked Questions
How much does Quick Start Guide to Large Language Models (LLMs): Unit 2 cost?
Visit the Quick Start Guide to Large Language Models (LLMs): Unit 2 course page for current pricing and available discounts.
Who teaches Quick Start Guide to Large Language Models (LLMs): Unit 2?
Quick Start Guide to Large Language Models (LLMs): Unit 2 is taught by Pearson, Pearson.
What skill level is Quick Start Guide to Large Language Models (LLMs): Unit 2 for?
This course is designed for advanced learners.