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Many new tools are being created with the goal of making it easier to build AI/ML solutions. One such tool is JAX:<br> https://jax.readthedocs.io/en/latest/ This thesis is about the evaluation of JAX, taking multiple different perspectives into account. One aspect is of course performance, but there are also "bigger" software engineering questions: can it be used to express things in a more familiar (mathematical) way than e.g. TensorFlow? And thus allow for shorter development time, more reusable modules, the possibility of exploring different methods for the same problem, etc.? Please note: this topic is just an early idea, not fully developed. If you are interested in it, contact Veronica & Slawomir before the deadline to discuss how to make it more concrete.
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