Evaluating and Debugging Generative AI
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Kesha Williams
1:11:48
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01 - Introduction to evaluating and debugging GenAI.mp4
00:50
01 - Explore generative AI models.mp4
03:56
02 - Analyzing the Transformer architecture.mp4
02:29
01 - Understand evaluation metrics.mp4
02:39
02 - Apply model analysis techniques.mp4
02:39
03 - Examine metric applications.mp4
03:50
04 - Challenge Evaluate image quality.mp4
01:50
05 - Solution Evaluate image quality.mp4
03:32
06 - Challenge Analyze text output.mp4
01:15
07 - Solution Analyze text output.mp4
03:17
01 - Identify common model issues.mp4
04:38
02 - Implement troubleshooting techniques.mp4
06:28
03 - Explore troubleshooting cases.mp4
03:12
04 - Challenge Remedy mode collapse.mp4
00:57
05 - Solution Remedy mode collapse.mp4
03:50
06 - Challenge Correct vanishing gradients.mp4
00:55
07 - Solution Correct vanishing gradients.mp4
03:27
01 - Discuss ethical implications.mp4
03:41
02 - Develop bias mitigation strategies.mp4
03:26
03 - Propose ethical guidelines.mp4
03:35
04 - Challenge Implement bias mitigation.mp4
00:57
05 - Solution Implement bias mitigation.mp4
04:40
01 - Strategize scalability and deployment.mp4
04:33
02 - Your evaluating and debugging GenAI journey.mp4
01:12
Description
Generative AI and large language models (LLMs) are changing how we build AI-powered solutions. In this course, learn the tools needed to evaluate and debug generative AI models while boosting productivity. Instructor Kesha Williams details the tools that help you train, evaluate, debug, trace, and monitor generative AI models. Learn to evaluate and debug LLMs you access via an API, fine-tune yourself, or train from scratch. By the end of this course, you’ll have a solid understanding of evaluating and debugging models
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Kesha Williams
Instructor's CoursesKesha Williams is an award-winning technology leader with 26 years of experience in tech. She's passionate about hands-on building and developing the next generation of leaders. Forbes, Amazon Web Services (AWS), and Oracle have applauded her contributions to the technology community. She's recognized, by Amazon, as an AWS Machine Learning Hero, AWS Ambassador, and Alexa Champion. Her expertise in machine learning led her to the TED stage as a winner of TED's Spotlight Presentation Academy, where she trained with the TED Institute. She holds multiple AWS certifications and has leadership training from Harvard Business School. She serves on the Board of Directors for Women in Voice in her spare time. Learn more at http://www.kesha.tech
Linkedin Learning
View courses Linkedin LearningLinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications.
It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
- language english
- Training sessions 24
- duration 1:11:48
- English subtitles has
- Release Date 2024/12/06
