Welcome to the 7th episode of Ubuntu AI podcast. Together with industry experts we’re discussing the topic of the year: AI.
From fun experiments to enterprise projects, AI became the center of attention when it comes to innovation, digital transformation and optimization.
Open source technologies democratized access to state-of-the-art machine learning tools and open doors for everyone . In this episode we have a special guest, together with whom we are discussing how the data in AI is being used and how you can make most of your data within organizations.
Open Source in modern software world.
For software, we’re at the point where it’s very clear that open source is one of the main pillars, if not the main pillar that the software world has been built on.
It has enabled crazy growth and tooling and enabled options for companies that are working in AI space.
We can see, that similar trends are already seen in Machine Learning. Even for LLMs and large cutting-edge models those are going to be based on open source: maybe customized, tailored in other ways for company needs.
Is there any movement in getting more open source data into universities and research institutions?
In world of software development the source is your code, in world of data and machine learning the source is code + data and data presents a lot of unique challenges.
One is the fact, that if you’re using data coming from real people and you might have PII (Personality identifying information) there will be a lot of sensitivity in that data. Companies are not willing to share it, even though they use open source, being considered as a business advantage.
But we are seeing a lot of open source data sets that are being released …
Should the data be static?
When you want to get to production, you realize that data is actually not static – it’s dynamic. You get data coming in all the time and that’s what helps you to improve your model over time.
Another thing that helps is when you;re subscribed to old data center AI. There are a lot of open source data sets. They are not dynamic enough yet, but there are told that enables community members to actually enable data.
Where to learn more about AI?
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