HAT use cases in AI

[Chen Liang]

It feels weird that your first impression of anything that allows running on GPGPU is "AI." Indeed, code models support transforming Java source code or bytecode to run on the GPU, but it also allows for alternative compilers or decompilers (such as Java decompilers), or create any IR that is of user interest. In fact, more people express their interest in the LINQ capabilities than the AI capabilities of the code model.

> if we take into account that there are already big players such as ONX Runtime?

External "big players" does not mean Java users do not need a feature. I fail to see how this should affect our decisions.
________________________________
From: babylon-dev <babylon-dev-retn at openjdk.org> on behalf of Andrii Lomakin <andrii0lomakin at gmail.com>
Sent: Thursday, August 8, 2024 10:54 AM
To: babylon-dev at openjdk.org <babylon-dev at openjdk.org>
Subject: HAT use cases in AI

Good day.

Probably it is a very preliminary question to ask.

But what are the benefits of using Bablylon/HAT the project's creators
can see, in the context of AI development, if we take into account
that there are already big players such as ONX Runtime?

I am asking to understand the vision of the project creators without
any intention of undermining the project's value.
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