Upon completing this course, learners will understand the distinctions between open-source and closed-source frameworks and their impact on development. The course offers hands-on experience with HuggingFace.js, enabling learners to perform inference tasks and apply AI solutions in real scenarios.
Open-source AI Models
Open-source AI Models
This course is part of AI Engineering Specialization
Instructor: Per Harald Borgen
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4.9
(15 reviews)
Intermediate level
Some related experience required
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Grasp Open-source vs Closed-source Paradigms
Understand HuggingFace.js for Practical AI Implementation
Navigate and Utilize AI Resources
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
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This course is part of the AI Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course
This module teaches the importance and utility of open-source AI models. It offers hands-on experience in AI tasks like text-to-speech, text-generation and image processing. It also gives you an introduction to HuggingFace, and how you can use the platform to easily use open AI models.
What's included
1 assignment7 plugins
Instructor
Offered by
Recommended if you're interested in Software Development
Korea Advanced Institute of Science and Technology(KAIST)
Coursera Project Network
Fred Hutchinson Cancer Center
University of Washington
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