LF AI & Data Blog Guidelines

The LF AI & Data blogs serve as channels for LF AI & Data members, project maintainers of graduated, incubating, and sandbox projects, committees, and working groups to share content with the broader LF AI & Data community and ecosystem. 

Submit your blog proposal through LF AI & Data Blog Submission Form to be considered for publication on the LF AI & Data Official or Community Blog. Once submitted, the LF AI & Data Marketing team will review your proposal and follow up as soon as possible. Please note that response times may be delayed due to the volume of submissions we receive.

We look forward to your blog submission. For questions, please email marketing@lfaidata.foundation

1. LF AI & Data Official Blog

Blog focus areas include:

• Newly graduated or incubating project announcements

• New membership announcements

• Project release information and promotion for graduated or incubating projects (submit using the LF AI & Data release blog template).

• Cross project collaboration examples among graduated or incubating projects, either within LF AI & Data or across the LF

• Impactful committee activities, public Board updates or other Foundation  updates

• Information or reports about upcoming or recent LF AI events

  • Promos for upcoming events with information on what you can expect

  • Summaries of recent project / community events with key takeaways & highlights

• Project deployment examples

• Use cases and success stories

• Policy changes

2. LF AI & Data Community Blog

Blog focus areas include:

• Technical tutorials, how-to guides, and deep dives featuring LF AI &Data projects

• Use cases, deployment stories, and best practices

• RUG, Working Group, SIG, or committee updates with concrete outcomes

• Cross-project collaboration and community initiatives

• Community tools, integrations, or extensions built around LF AI & Data projects

• Industry perspectives that directly relate to LF AI & Data technologies and open source AI

Other topics are welcome, but should have a direct link to the LF AI & Data community and technology that goes beyond general industry or technical discussion. 

Members are welcome and encouraged to draft and submit blog posts, provided the following considerations are met:

The LF AI blog audience consists of developers and, more broadly, AI, ML, and DL open source enthusiasts. Blogs should be intended to teach and impart value to the broader LF AI community.

• Posts must be vendor-neutral. The post may mention a vendor’s name as it relates to specific open source project(s), project deployments, adoption paths, the hosting of an in-person event or speaking at an event, or other indications of meaningful participation in the community, but it shouldn’t feel like an advertisement for the member services or company. We do not accept member or company services announcements or press releases to the LF AI blog.

• Blogs should be no longer than 1,000 words and no shorter than 300 words. Diagrams, code examples, or photos are strongly encouraged.

  • Any blog content greatly exceeding this word count should be broken up into a series of related posts or considered for a more formal white paper or solution brief

• Blog submissions must be from LF AI & Data member organizations to receive attribution.

  • While LF AI & Data is an open source organization, blogging for the Foundation is part of the robust benefit package that comes with official membership in the Foundation

  • Community blog posts from non-member companies may be considered on a case-by-case basis, but priority will be given to member-contributed content. Non-member submissions may also be redirected for potential social promotion instead of blog publication

• Given the over-saturation of AI-related content online, LF AI & Data will not publish content on general industry research unless there is a direct connection to the Foundation and its projects, or if commissioned by the Foundation

  • For example, an analyst report highlighting the use of OPEA in a deployment would be appropriate. However, a generic academic discussion on Agentic AI without any tie to LF AI & Data work would not qualify."

• Blog posts MUST contain clear and direct discussion of LF AI & Data projects, solutions, or Committee / Working Group output with crisp and concise discussion of the benefits of Foundation projects. 

• Your post must be your content, but can be published elsewhere with a right to republish. All content should have an author and be published [Creative Commons with Attribution](https://creativecommons.org/share-your-work/ ), so you’re welcome to re-publish on your own blog. 

Member-generated content that does not meet this criteria (but remains vendor-neutral and within neutral industry discussion), or does not link directly to LF AI & Data output, may be considered for LF AI & Data social media promotion (but not publication on Foundation blog) as part of the overall member benefits package. 

• The most interesting posts are how-to blogs, blogs with technical content, and those that teach or show how to do something in a way others may not have thought of.

• Blog posts that show hurdles that were encountered and explain how they were overcome via LF AI & Data project solutions often do very well as the community is looking to learn.

  • If you have a good example of this, please consider reverting to a more formal use case. 

• Content on how to choose between different technologies and how to accommodate different legacy issues and platforms-- and how LF AI & Data projects enable that -- is a good way to highlight your learnings and share with the community.

• All blogs must adhere to the Linux Foundation Code of Conduct