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Open-source AI Models

Per Harald Borgen

4.9

Based on 17 ratings

, see reviews

Per Harald Borgen

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.

Participants will gain the skills to implement text-to-speech and image transformations using HuggingFace's libraries. The focus on the HuggingFace.js interface provides direct access to leading open-source AI tools, standing out in its practical approach.

A key section is on navigating the HuggingFace.js Hub, where learners discover how to access free models, essential for cost-effective AI deployment. The course culminates with insights into AI’s future in browser-based applications, preparing learners for the next wave of AI integration.

What distinguishes this course is its blend of theoretical knowledge and practical application, equipping learners to effectively utilize AI models in their projects. It's ideal for those aiming to pioneer in open-source AI application development.

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What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches skills, knowledge, and/or tools that are highly relevant in an academic setting

Taught by Per Harald Borgen, who are recognized for their work in open-source AI tools

Strong fit with a particular audience, either based on learners experience level, field, or interests

Provides hands-on training, using libraries like HuggingFace.js

Explores open-source AI models, which is standard in industry today

Offers a mix of media and resources, including videos, readings, discussions and more

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Reviews summary

Hands-on open-source ai with huggingface.js

According to learners, this course provides a strong practical foundation in open-source AI using HuggingFace.js. Many highlight the hands-on activities and demos as particularly valuable, enabling them to apply AI solutions in real scenarios. Students appreciate the clear introduction to HuggingFace's platform and the focus on cost-effective model deployment. While largely positive, some experienced developers found it too foundational, desiring deeper dives into advanced topics. Conversely, absolute beginners occasionally noted the pace could be challenging. Overall, it's considered an excellent starting point for those aiming to develop with open-source AI.

Generally well-paced, but some found it fast for beginners.

"The course pacing was just right, keeping me engaged without feeling rushed."

"I had to re-watch some sections as the concepts were introduced quite rapidly for a total beginner."

"The bite-sized modules helped maintain momentum, but some segments could use more detailed explanations."

Explores the future of AI in browser applications.

"The discussion on AI's future in browser-based applications was forward-thinking and highly relevant."

"I really appreciated the insights into deploying models in the browser, a truly unique and practical aspect."

"This course prepared me for the next wave of AI integration, which is a huge plus."

Direct and effective use of a key AI platform.

"This course provided a fantastic introduction to HuggingFace.js; I can now navigate the Hub confidently."

"Learning to perform inference tasks directly with HuggingFace.js was exactly what I needed for my projects."

"I found the sections on accessing free models on the HuggingFace Hub extremely useful for cost-effective development."

Equips learners with immediate, applicable skills.

"The hands-on coding and projects are the strongest part of the course for me, really made the concepts stick."

"I appreciate how the course goes straight to application, letting me use HuggingFace.js right away."

"It's not just theory; I built several functional AI applications during the course, which is invaluable."

Excellent for beginners but basic for experienced users.

"For someone new to open-source AI and HuggingFace, this course is a perfect starting point."

"While the course delivers on its promises, I was hoping for more advanced topics and deeper technical dives."

"As an experienced developer, I found much of the content to be introductory, though still a good refresher."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Open-source AI Models with these activities:

Revisit fundamental machine learning algorithms

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Refresh your knowledge of foundational machine learning algorithms before starting the course to understand complex concepts more efficiently.

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Review materials on supervised and unsupervised machine learning algorithms.
Work through practice problems to solidify your understanding.

Review HTTP requests and response fundamentals

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Brush up on HTTP fundamentals before starting the course to seamlessly follow discussions and apply concepts in assignments.

Browse courses on HTTP

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Revisit the concepts of HTTP requests, including GET and POST.
Review the structure of HTTP responses, including status codes and headers.
Practice making HTTP requests using a tool like Postman or cURL.

Attend an online workshop on HuggingFace.js

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Expand your knowledge and connect with experts by participating in an online workshop dedicated to HuggingFace.js.

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Research and identify relevant online workshops.
Register and attend the workshop.
Actively participate in the workshop, taking notes and asking questions.

Six other activities

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Complete a set of coding exercises

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Solidify your understanding of HuggingFace.js API by attempting a set of coding challenges.

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Review the provided coding challenges that enhance your understanding of HuggingFace.js API.
Attempt to solve the coding challenges on your own, referring to course materials when needed.
Check your solutions against provided answer keys or discuss with peers to identify areas for improvement.

Explore the Transformers library documentation

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Gain a deeper understanding of the Transformers library by thoroughly exploring its documentation.

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Access the official Transformers library documentation.
Read through the sections on model architecture, usage, and fine-tuning.
Experiment with the code examples provided in the documentation to enhance comprehension.

Build a simple web application using HuggingFace.js

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Apply your knowledge by creating a functional web application that utilizes HuggingFace.js to demonstrate your proficiency.

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Design the application's architecture and user interface.
Implement the application using HuggingFace.js to integrate AI models.
Test and refine the application to ensure optimal performance.

Participate in a community project using HuggingFace.js

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Gain practical experience by applying your knowledge of HuggingFace.js to real-world projects, making a difference in your community.

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Identify a non-profit organization or community group that could benefit from AI solutions.
Reach out to the organization and propose a project idea that utilizes HuggingFace.js.
Collaborate with the organization to implement the AI solution and measure its impact.

Contribute to the HuggingFace community forums

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Engage with the HuggingFace community by actively participating in the forums to reinforce your understanding of concepts.

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Join the HuggingFace community forums.
Read through existing discussions to familiarize yourself with common questions and solutions.
Post questions or share your experiences to contribute to the knowledge base.

Contribute to the HuggingFace Transformers library

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Enhance your understanding of the Transformers library by actively contributing to its open-source repository.

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Review the HuggingFace Transformers repository and identify areas for potential contributions.
Make changes to the codebase, ensuring adherence to coding standards and best practices.
Submit a pull request with a detailed description of your contribution.

Career center

Learners who complete Open-source AI Models will develop knowledge and skills that may be useful to these careers:

Data Scientist

As a Data Scientist, you will analyze data and build machine learning models. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Natural Language Processing Engineer

As a Natural Language Processing Engineer, you will develop and implement AI solutions that can understand and process human language. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Natural Language Processing Engineer.

See salaries and explore the career path for Natural Language Processing Engineer

Computer Vision Engineer

As a Computer Vision Engineer, you will develop and implement AI solutions that can see and interpret images. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Computer Vision Engineer.

See salaries and explore the career path for Computer Vision Engineer

AI Software Engineer

As an AI Software Engineer, you will develop and implement AI solutions for a variety of applications. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as an AI Software Engineer.

See salaries and explore the career path for AI Software Engineer

Research Scientist

As a Research Scientist, you will conduct research in the field of artificial intelligence. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Research Scientist.

See salaries and explore the career path for Research Scientist

Product Manager

As a Product Manager, you will develop and manage AI products. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Product Manager.

See salaries and explore the career path for Product Manager

Business Analyst

As a Business Analyst, you will analyze business needs and develop AI solutions to meet those needs. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Data Analyst

As a Data Analyst, you will analyze data and develop AI solutions to improve business outcomes. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Software Developer

As a Software Developer, you will develop and implement AI solutions. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Software Developer.

See salaries and explore the career path for Software Developer

Quantitative Analyst

As a Quantitative Analyst, you will use AI to develop models for financial trading and risk management. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to develop and implement AI solutions for real-world business problems. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Technical Writer

As a Technical Writer, you will write documentation and training materials for AI products and services. The Open-source AI Models course will help you build a foundation in open-source AI. This will give you the skills you need to understand the technical concepts behind AI and communicate them clearly to others. The course covers topics such as text-to-speech, image transformations, and the HuggingFace.js Hub. This knowledge will be essential for a successful career as a Technical Writer.

See salaries and explore the career path for Technical Writer

Information Security Analyst

As an Information Security Analyst, you will protect computer systems and networks from cyber threats. The Open-source AI Models course may be useful for this role, as it will give you a foundation in open-source AI. This will help you understand the security risks associated with AI and develop strategies to mitigate those risks.

See salaries and explore the career path for Information Security Analyst

Database Administrator

As a Database Administrator, you will manage and maintain databases. The Open-source AI Models course may be useful for this role, as it will give you a foundation in open-source AI. This will help you understand the data structures and algorithms used in AI and how to optimize them for database performance.

See salaries and explore the career path for Database Administrator

Network Administrator

As a Network Administrator, you will manage and maintain computer networks. The Open-source AI Models course may be useful for this role, as it will give you a foundation in open-source AI. This will help you understand the network protocols and technologies used in AI and how to optimize them for network performance.

See salaries and explore the career path for Network Administrator

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Open-source AI Models.

Cross-Lingual Word Embeddings

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A comprehensive introduction to deep learning for NLP, covering the fundamentals of neural networks, transformers, and language models.

Cross-Lingual Word Embeddings (Synthesis Lectures...

Paperback

Reinforcement Learning, second edition

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A comprehensive introduction to reinforcement learning, covering the fundamental concepts and algorithms.

Reinforcement Learning, second edition: An...

Hardcover

$$$

Reinforcement Learning, second edition: An...

Kindle Edition

$$$

Deep Learning with Python, Second Edition

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A comprehensive introduction to deep learning with Python, covering the fundamentals of neural networks, convolutional neural networks, and recurrent neural networks.

Deep Learning with Python, Second Edition

Paperback

Deep Learning with Python, Second Edition

Kindle Edition

Translation Tools and Technologies

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A comprehensive guide to machine learning for text data, covering topics such as text classification, text clustering, and text summarization.

Translation Tools and Technologies (Routledge...

Kindle Edition

Deep Learning for Coders with fastai and PyTorch

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A practical guide to deep learning for coders, using the fastai library.

Deep Learning for Coders with Fastai and PyTorch:...

Paperback

Deep Learning for Coders with fastai and PyTorch:...

Kindle Edition

Machine Learning in Action

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A practical guide to machine learning with Python, covering a wide range of topics such as supervised learning, unsupervised learning, and reinforcement learning.

Machine Learning in Action

Paperback

(中文) 机器学习实战 (图灵程序设计丛书 72) (Chinese Edition)

Kindle Edition