fast.ai

Democratizing deep learning through education, software, and collaborations

  • Practical deep learning training for coders

  • Offers software tools for PyTorch

  • Notable recognition from reputable publications

Pricing:

🆓 Free

Categories:

#Education

What is fast.ai

fast.ai is an AI-focused organization that offers courses, software, and books to educate and empower individuals in the field of deep learning. They provide practical training in deep learning for coders, offer software tools like fastai for PyTorch and nbdev, and have published a book titled "Practical Deep Learning for Coders with fastai and PyTorch." Their work has garnered attention from notable publications such as The Economist, The New York Times, and MIT Tech Review.

Key Features of fast.ai

- Courses: Offers practical courses like "Practical Deep Learning for Coders" and "From Deep Learning Foundations to Stable Diffusion."

- Software Tools: Provides useful software tools such as "fastai for PyTorch" and "nbdev," designed to enhance PyTorch usage and notebook development respectively.

- Educational Book: Features "Practical Deep Learning for Coders with fastai and PyTorch," a comprehensive guide to deep learning.

- Corporate Partner Program: Offers a program to assist corporations with fast.ai technologies and courses.

- R&D Lab: Hosts an AI R&D lab named Answer.AI, dedicated to creating practical end-user products through foundational research breakthroughs.

- Courses Video Content: Includes extensive video content, with the latest course covering over 30 hours of deep learning material.

- Media Coverage: Featured in prominent publications such as The Economist, The New York Times, and MIT Tech Review.

- Community & Scholarships: Provides scholarships for course participants, particularly targeting fast.ai community contributors, open source developers, and diversity scholars.

- Programming Language Contribution: Introduced Mojo, a programming language based on Python, aiming to resolve Python’s performance and deployment issues.

- AI Ethics: Engages in discussions around AI ethics, focusing on topics like empowerment, justice, and the societal impacts of AI technologies.

- AI Safety: Explores the importance of AI safety, emphasizing decentralization and the risks associated with concentrated power.

- Research Publications: Authors numerous research papers and articles on a variety of topics within AI, machine learning, and public health.

fast.ai

Democratizing deep learning through education, software, and collaborations

Key Features

🆓 Free

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