Mondrian AI (official web site) is an organization that describes itself as having an “End-to-End AI Platform for the entire AI development process,” together with a consulting service to place an entire resolution into service from a buyer’s enterprise request and wishes.
Mondrian’s Yennefer Enterprise AI Platform (hyperlink) appears to be like very full and handles {hardware} useful resource allocation, AI mannequin deployments, and the info pipeline from the place it’s saved via processing to the end-user dashboard.
Although AI is the first focus nowadays, the corporate has constructed experience in information science and information visualization since they have an inclination to make use of an analogous stack and are in excessive demand by numerous clients.
Yennefer is designed to deal with the entire improvement workflow and might interface with normal instruments resembling GitHub, the massive public clouds the place code and information are. Customers can then construct their information processing with the mannequin of their alternative and outline their system configurations by software program. Finally, that is all deployed and managed in manufacturing.
Such a platform can enormously speed up how briskly an entire resolution may be deployed. Most firms, even enormous ones, don’t have the engineering assets and know-how for each enterprise unit or key undertaking to deploy a serious AI undertaking.
That’s the place the consulting side of Mondrian AI may give it an edge with particular clients, particularly those that need to deploy one thing advanced comparatively shortly. While there are increasingly more platforms that declare to carry out related duties, the enterprise is predicted to offer its personal engineering or consultants. Just discovering or choosing these can already be difficult.
Customers who need to run their AI workflows on-premises is likely to be articulately interested by Yennefer because it was constructed for that. Many startups like beginning their operations on public clouds for comfort, however massive, established firms are sometimes stricter about the place their information can reside.
Mondrian should additionally select its tasks rigorously, as its engineering assets aren’t limitless. It has labored with prestigious firms resembling Samsung, SK Telecom, Seoul University, and the Incheon Airport.
Interestingly, the corporate can be constructing its personal ChatGPT-like system, optimized for the Korean language. The massive language fashions (LLMs) we usually hear about are skilled with English language content material, and it’s not unusual to listen to builders complain in regards to the lack of datasets to coach LLMs in different languages.
Now, AI-based functions use the RAG (Retrieval augmented era) structure to construct chatbots that may reply particular or proprietary questions. However, RAG depends on a high-performing LLM. Mondrian AI thinks its upcoming LLM can do the job, which might be a strong argument for Korean firms to undertake the platform.
Building a platform with such depth is spectacular for a younger firm. There are plenty of shifting elements that require cross-disciplinary experience along with manufacturing information as effectively.
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