Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Generative AI Studio
Generative AI Studio
Welcome (0:05)
Course Agenda (1:15)
Section-1
Module-1
Features and Capabilities (0:53)
Benefits of Using Generative AI Studio (2:03)
Section-2
Module-2 (0:03)
Supported Architecture (2:42)
Use Cases and Strengths (1:16)
Choosing the Right Model for Task (1:00)
Section-3
Module-3 (0:01)
What is Fine Tuning? (1:05)
Why is Fine Tuning Important? (1:25)
How Does Fine Tuning Work? (2:20)
Benefits of Fine Tuning Model (1:03)
Challenges of Fine Tuning Model (0:54)
Applications of Fine Tuning Model (1:09)
Section-4
Module-4 Hyperparameter Tuning (0:02)
What are Hyperparameter (1:49)
Hyperparameters Tuning Techniques (2:06)
Applications of Hyperparameters Tuning (0:40)
Section-5
Module-5 How does Gen AI Studio differ from other AI tool? (0:04)
Potential Differences (3:21)
Section-6
Module-6 Real World Applications of Generative Models (0:03)
Text Generation (1:49)
Data Augmentation (2:13)
Section-7
Module-7 Industry Specific Applications (0:02)
Healthcare Industry (3:25)
Finance Industry (3:56)
Manufacturing Industry (3:24)
Retail Industry (2:45)
Section-8
Module 8 (0:04)
Efficient Model Training Strategies (1:32)
Distributed Training and Accelerators (1:17)
Monitoring and Adjusting During Training (1:26)
Completing Course (0:03)
Module-5 How does Gen AI Studio differ from other AI tool?
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock