Big News. LLaMA just went Apache 2.0 with OpenLLaMA!
OpenLLaMA is a permissively licensed open source reproduction of Meta AI’s LLaMA 7B and 13B trained on the RedPajama dataset.
They are releasing 3B, 7B and 17B models trained on 1T tokens and provide PyTorch and JAX weights of pre-trained OpenLLaMA models.
Announcing TensorFlow Quantum (#TFQ), an open-source library for the rapid prototyping of quantum #MachineLearning models, bringing the quantum computing and ML research communities together to accelerate the discovery of new quantum algorithms. https://t.co/y624QyVjV8
Lots of Data Scientists want to focus on model building. Just using a local Jupyter Notebook can be a limitation if you want to create scalable Machine Learning systems or use Kubeflow. Build an All-in-One Kubernetes+@NVIDIA GPU with CodeReady Containers https://t.co/x0KwPbq85J
We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL): https://t.co/OGWFsij4Kb
We're proud and excited to announce a major milestone for our project: Kubeflow's 1.0 release!
https://t.co/bvMncVS4fH
Thank you to the countless organizations, contributors and users who helped us bring efficient #machinelearning tooling to Kubernetes.
📢 #TFDevSummit updated livestream agenda is in!
In less than two days, we’ll be live-streaming a complete series of exciting talks full of announcements, platform updates, user stories and more.
Check out the updated agenda here ↓
https://t.co/2qOe6QrW8S