![]() ![]() In the case of hugging face, it could be text summarization or translation. If you're new to machine learning, a pre-trained model is one that's ready to go as far as doing machine learning stuff. This week AWS made it one click simple to deploy over 40 pre-trained hugging face models using SageMakerJumpstart. A few weeks back I mentioned that SageMaker now has optimized containers for the popular natural language processing framework hugging face. In among all the typical 'service X now offered in region Y' announcements and feature announcements, which really should have been part of the initial product release, I pulled together a few things that might be of interest. And as we go to press the AWS news this week has been pretty light. ![]() I can always count on Defcon to push my paranoia levels to new heights. We just returned from a little trip to Defcon in Las Vegas, special shout out to the cloud village for hosting some excellent talks and a really fun and challenging cloud-based capture the flag event. Here in the Northern hemisphere, Summer is winding down and lots of people are sneaking away for some well-deserved downtime, including yours truly. Hello, cloud guru, Scott Pletcher back with some more AWS news goodness.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |