Mondrian AI (official site) is an organization that describes itself as having an “Finish-to-Finish AI Platform for your entire AI growth course of,” together with a consulting service to place a whole answer into service from a buyer’s enterprise request and wishes.
Mondrian’s Yennefer Enterprise AI Platform (link) seems to be very full and handles {hardware} useful resource allocation, AI mannequin deployments, and the information pipeline from the place it’s saved by means of processing to the end-user dashboard.
Though AI is the first focus today, the corporate has constructed experience in information science and information visualization since they have an inclination to make use of the same stack and are in excessive demand by numerous prospects.
Yennefer is designed to deal with the entire growth workflow and may interface with commonplace instruments resembling GitHub, the massive public clouds the place code and information are. Prospects can then construct their information processing with the mannequin of their selection and outline their system configurations by software program. Lastly, that is all deployed and managed in manufacturing.
Such a platform can tremendously speed up how briskly a whole answer will be deployed. Most firms, even big ones, don’t have the engineering assets and know-how for each enterprise unit or key challenge to deploy a significant AI challenge.
That’s the place the consulting facet of Mondrian AI can provide it an edge with particular prospects, particularly those that need to deploy one thing advanced comparatively rapidly. Whereas there are an increasing number of platforms that declare to carry out related duties, the enterprise is anticipated to supply its personal engineering or consultants. Simply discovering or deciding on these can already be difficult.
Prospects who need to run their AI workflows on-premises may be articulately interested by Yennefer because it was constructed for that. Many startups like beginning their operations on public clouds for comfort, however giant, established firms are sometimes stricter about the place their information can reside.
Mondrian should additionally select its tasks fastidiously, as its engineering assets aren’t limitless. It has labored with prestigious firms resembling Samsung, SK Telecom, Seoul College, and the Incheon Airport.
Curiously, 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 purposes use the RAG (Retrieval augmented technology) structure to construct chatbots that may reply particular or proprietary questions. Nonetheless, RAG depends on a high-performing LLM. Mondrian AI thinks its upcoming LLM can do the job, which could possibly be a strong argument for Korean firms to undertake the platform.
Constructing a platform with such depth is spectacular for a younger firm. There are a number of shifting elements that require cross-disciplinary experience along with manufacturing data as effectively.
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