Creating an AI Solution
ALO assists in developing AI Solutions tailored to specific problems by optimizing AI Contents through various experiments. Alternatively, AI Solutions can be developed from scratch without using AI Contents.
The AI Solution, developed and tested in the user's environment, includes tuning the parameters of the AI model, packaging necessary Python modules, code, and sample data for AI model creation, and registering it as a Docker image in Mellerikat.
Mellerikat, along with ALO, minimizes the engineering code required to deploy and operate AI Solutions on Edge Devices, allowing data scientists to focus on AI modeling development. In summary, ALO efficiently transitions AI experiments to operations, simplifying and accelerating the development process.
Creating an AI Solution Using AI Contents
In developing an AI Solution, there are AI Contents available in a pre-matured form that can be utilized. By leveraging AI Contents, it is possible to address various industry challenges and solve domain-specific problems using artificial intelligence (AI).
For detailed information, refer to the Creating an AI Solution Using AI Contents page.
Creating an AI Solution Without AI Contents
If existing AI Contents are not sufficient to address the user's problem, ALO can be used to develop an AI Solution from scratch.
For detailed information, refer to the Creating an AI Solution Without AI Contents page.
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