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10 things to watch out for with open source gen AI

CIO Business Intelligence

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source.

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NSA Releases A New Technology to Open Source Community

CTOvision

Here is their press release : NSA Releases First in Series of Software Products to Open Source Community. The software is “open source,” which means its code is available to the public – in this case, through the Apache Software Foundation. New technology automates high-volume data flows. economic growth.”

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AI development booms as open source startups fill the gap

Dataconomy

Runa Capital’s ROSS Index highlights the growing market for AI and open-source technologies, tracking the rapid expansion of this sector. These efforts showcase the diverse, evolving nature of AI and open-source ventures. It reflects an increasingly vibrant ecosystem fueled by technological advancements.

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NGA Continues To Engage With Open Source Community Via GitHub

CTOvision

They are: geoevents: The GeoEvents project is a dynamic and customizable open source web presence that provides a common operational picture to consolidate activities, manage content, and provides a single point of discovery. The main GitHub page for NGA is at: National Geospatial-Intelligence Agency. In the News.

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Snyk bolsters open source software security with FossID acquisition

Venture Beast

Snyk has acquired FossID, a startup that develops a software composition analysis tool for open source code. Read More.

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The big, gaping hole in software supply chain security

CIO Business Intelligence

If software supply chains consisted solely of open source code, securing them would be easy. Effective tools and methodologies exist for discovering and remediating software supply chain security risks that arise from open source components. But SBOMs are designed mainly to catalog open source software.

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Implementing Data Literacy, Part 2

Eric D. Brown

In my last post, Implementing Data Literacy, Part 1, I discussed the first four critical areas to tackle when implementing data literacy programs, from overcoming stubborn resistance to measuring success. Internship Programs: Bring in data science or analytics students for short-term projects. Sometimes, constraints breed creativity.

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