Published
Learn about why Google, Cohere, Midjourney, and other leaders use JAX for GenAI, including the role of JAX in the development of Gemma.
Watch more videos from Gemma Developer Day Tokyo → https://goo.gle/gemma-dev-tokyo
Subscribe to Google for Developers → https://goo.gle/developers
#Gemma #GemmaDeveloperDay
Watch more videos from Gemma Developer Day Tokyo → https://goo.gle/gemma-dev-tokyo
Subscribe to Google for Developers → https://goo.gle/developers
#Gemma #GemmaDeveloperDay
- Category
- Project
- Tags
- Google, developers
Sign in or sign up to post comments.
Be the first to comment
Up Next
-
12:21
Demo: Optimizing Gemma inference on NVIDIA GPUs with TensorRT-LLM
-
09:36
Gemma 3 architecture and design
-
01:27
Architecture
-
08:52
Demo: Gemma data, training, and the path to improvement
-
07:20
Demo: Unleashing Gemma in production with Hugging Face Text Generation Inference (TGI)
-
14:42
The Best Architecture Photography I've seen in a while!
-
02:02
Gemma Scope demo with Neuronpedia
-
07:12
Demo: Gemma on-device with MediaPipe
-
06:39
Welcome to Gemma 3
-
07:12
Demo: Gemma 2 2B on a Jetson Orin Nano
-
11:37
Demo: Rapid prototyping with Gemma and Llama.cpp
-
09:37
Demo: Using Gemma with the Hugging Face ecosystem
-
08:12
Demo: JAX, Flax and Gemma
-
06:31
Gemma in Minutes: 3 ways to run Gemma’s latest version!
-
08:34
Demo: Deploying Gemma at dataflow scale
-
07:24
Demo: Gemma Scope: Sparse autoencoders on Gemma 2
-
08:43
Demo: Post-training research with Gemma
-
06:37
Demo: Teach Gemma to work in YOUR language
-
11:34
Demo: Taking Gemma from prototype to production faster with Vertex AI
-
06:20
Demo: Multi-modal Gemma: PaliGemma with Keras
-
07:57
Demo: Gemma on-device with MediaPipe and TensorFlow Lite
-
10:07
Demo: Building a Gemma chatbot with Keras
Loading...