Linking pages
- Google’s scalable supercomputers for machine learning, Cloud TPU Pods, are now publicly available in beta | Google Cloud Blog https://cloud.google.com/blog/products/ai-machine-learning/googles-scalable-supercomputers-for-machine-learning-cloud-tpu-pods-are-now-publicly-available-in-beta 71 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning https://github.com/EthicalML/awesome-production-machine-learning 0 comments
- Cloud TPU v4 Pods, large model training, MLPerf v1.1 | Google Cloud Blog https://cloud.google.com/blog/topics/tpus/google-showcases-cloud-tpu-v4-pods-for-large-model-training 0 comments
- Lingvo: A TensorFlow Framework for Sequence Modeling | by TensorFlow | TensorFlow | Medium https://medium.com/tensorflow/lingvo-a-tensorflow-framework-for-sequence-modeling-8b1d6ffba5bb 0 comments
- Google AI Researchers Propose N-Grammer for Augmenting the Transformer Architecture with Latent n-grams - MarkTechPost https://www.marktechpost.com/2022/08/04/google-ai-researchers-propose-n-grammer-for-augmenting-the-transformer-architecture-with-latent-n-grams/ 0 comments
- Google Open-Sources Lingvo Framework for Sequence-To-Sequence Modeling | by Synced | SyncedReview | Medium https://medium.com/syncedreview/google-open-sources-lingvo-framework-for-sequence-to-sequence-modeling-c62d5e52a774 0 comments
Linked pages
- [2006.16668] GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding https://arxiv.org/abs/2006.16668 35 comments
- Install Docker Engine on Ubuntu | Docker Documentation https://docs.docker.com/install/linux/docker-ce/ubuntu/ 11 comments
- Install TensorFlow 2 https://www.tensorflow.org/install 7 comments
- [1902.08295] Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling https://arxiv.org/abs/1902.08295 0 comments
- [1602.02410] Exploring the Limits of Language Modeling http://arxiv.org/abs/1602.02410 0 comments
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