Super simple Colab that shows you how to build a chatbot using Gemma 2 9B: https://t.co/govVZnDPPV
Built with Keras 3, runs on any backend -- JAX, PyTorch, TensorFlow. Personally recommend JAX for best performance.
Proud to have been a part of this, try it out now in Jax, Tensorflow or Pytorch with the Keras implementation - both 9B and 27B have a lot of personality
We're excited to unveil Gemma 2. 🛠️
Available in both 9B and 27B parameters, it delivers the best performance for its size - unlocking more possibilities for developers to build and deploy with AI. → https://t.co/RmRLEdFPMV
Gemma 2 is now available available in 9B and 27B sizes (great for practical deployments) 🎉
These open-source models offer best-in-class performance (often better than significantly larger models), run at incredible speed across different hardware and easily integrate with other AI tools.
Download the weights on @Kaggle and @HuggingFace, or access the models in Google AI Studio
Both sizes also do very well compared to other proprietary and open models on lmsys (although error bars are still largish due to limited votes so far):
See more on the blog:
https://t.co/0WrtElgh8e
Tech report: https://t.co/RCREbHRIse
Congrats to all the people who have been working hard on this new release!
We're releasing a new high-performing open LLM: Gemma 2! Written in Keras 3, and compatible with TensorFlow, JAX, and PyTorch.
Gemma 2 comes in two sizes, 9B and 27B parameters, with standard and instruction-tuned variants. Find them here:
On Kaggle: https://t.co/CEhLE5Iayd
On Hugging Face: https://t.co/m0vcdG3Puo
Next-gen framework that vastly simplifies your JAX experience, and your Tensorflow, and your PyTorch. Somehow even your Numpy
Excited to see what OSS can build on top. Great effort from the team and community contributors
Big news: we just released Keras 3.0!
▶ Run Keras on top of JAX, TensorFlow, and PyTorch
▶ Train faster with XLA compilation
▶ Unlock training runs with any number of devices & hosts via the new Keras distribution API
It's live on PyPI now! 🚀
Get up-to-date information about the global COVID-19 epidemic with this interactive website, Covid Visualizer, developed by @CarnegieMellon students Navid Mamoon @CMU_DietrichHSS and Gabriel Rasskin @SCSatCMU https://t.co/AN8BJNILIZ