Weaviate 1.14 release
Learn what is new in Weaviate 1.14, the most reliable and observable Weaviate release yet!
Release
deep-learning, Machine Learning, pytorch
No, We Don’t Have to Choose Batch Sizes As Powers Of 2
Regarding neural network training, I think we are all guilty of doing this: we choose our batch sizes as powers of 2, that is, 64, 128, 256, 512, 1024, and…
Uncategorised
A new template for model READMEs
Inspired by model cards, we’ve created templates for documenting models on Replicate.
deep-learning, Machine Learning, ML Systems
Sharing Deep Learning Research Models with Lightning Part 2: Leveraging the Cloud
In this article, we will take deploy a Super Resolution App on the cloud using lightning.ai. The primary goal here is to see how easy it is to create and…
Research
DALL¡E 2 pre-training mitigations
In order to share the magic of DALL¡E 2 with a broad audience, we needed to reduce the risks associated with powerful image generation models. To this end, we put various guardrails in place to prevent generated images from violating our content policy…
Research
Learning to play Minecraft with Video PreTraining
We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond to…