Download this new ebook to learn about some of the most successful open source AI projects.
Open source AI is flourishing, with companies developing and open sourcing new AI and machine learning tools at a rapid pace. To help you keep up with the changes and stay informed about the latest projects, The Linux Foundation has published a free ebook by Ibrahim Haddad examining popular open source AI projects, including Acumos AI, Apache Spark, Caffe, TensorFlow, and others.
“It is increasingly common to see AI as open source projects,” Haddad said. And, “as with any technology where talent premiums are high, the network effects of open source are very strong.”
Open Source AI: Projects, Insights, and Trends looks at 16 open source AI projects – providing in depth information on their histories, codebases, and GitHub contributions. In this 100+ page book, you’ll gain insights about the various projects as well as the state of open source AI in general. Additionally, the book discusses the importance of project incubators, community governance, project consolidation, and presents some observations on common characteristics among the surveyed projects.
For each of the projects examined, the book provides a detailed summary offering basic information, observations, and pointers to web and code resources. If you’re involved with open source AI, this book provides an essential guide to the current state of open source AI.
Download the ebook now to learn more about the most successful open source AI projects and read what it takes to build your own successful community.
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