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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.</div>
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> if we take into account that there are already big players such as ONX Runtime?</div>
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External "big players" does not mean Java users do not need a feature. I fail to see how this should affect our decisions.</div>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> babylon-dev <babylon-dev-retn@openjdk.org> on behalf of Andrii Lomakin <andrii0lomakin@gmail.com><br>
<b>Sent:</b> Thursday, August 8, 2024 10:54 AM<br>
<b>To:</b> babylon-dev@openjdk.org <babylon-dev@openjdk.org><br>
<b>Subject:</b> HAT use cases in AI</font>
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<div class="PlainText">Good day.<br>
<br>
Probably it is a very preliminary question to ask.<br>
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But what are the benefits of using Bablylon/HAT the project's creators<br>
can see, in the context of AI development, if we take into account<br>
that there are already big players such as ONX Runtime?<br>
<br>
I am asking to understand the vision of the project creators without<br>
any intention of undermining the project's value.<br>
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