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📚 Gain access to educational resources to master TensorFlow
💻 Learn framework concepts and components
...and more!
Check it out → goo.gle/tensorflow-lin…
Congrats Keras on 10-years! Explore the newly designed Keras website full of resources for developers like Jupyter notebook guides, API docs, and more. → keras.io
TensorFlow 2.19 is released! Explore significant performance enhancements, including bfloat16 support, alongside improved C++ API updates. Read the full release notes for details → goo.gle/3Fmr21R
Experience the power of Gemma 2 on Jetson Nano Orin from #GemmaDeveloperDay Tokyo! @nvidia’s @asierarranz walks us through the steps.
🧠 Install CUDA and llama.cpp
⬇️ Download the Gemma2 model
🚀 Start exploring AI on the edge!
See the full setup → goo.gle/3Fd6fh2
📈 Scale open models with @huggingface Text Generation Inference!
🚀 Customize with LoRA adapters
⚙️ Optimize with PEFT and TRL
☁️ Deploy on Google Cloud Platform with ease
🤖 Watch the demo from #GemmaDeveloperDay Tokyo → goo.gle/41bzOHe
AI in any language 💬
At #GemmaDeveloperDay Tokyo, Google’s AI Developer Relations team shared:
✨ Gemma's multilingual capabilities
🔧 Fine-tuning models for specific tasks in any language
🇰🇷 How a small bakery uses Gemma for Korean
Watch here → goo.gle/3CQRLmj
Announcing Gemini 2.0 Flash-Lite, now available in public preview. The cost-effective model for high-throughput applications features a 1M token context window for text and multimodal inputs with text outputs. → goo.gle/4aNBWJG
Gemini 2.0 Flash is now generally available for text output. Learn more at the blog and start building in the Gemini API via AI Studio and Vertex AI. → goo.gle/4jLFzUr
Announcing updates to the Gemini model family:
-Gemini 2.0 Flash is now generally available
-Gemini 2.0 Pro Experimental is available in AI Studio and Vertex AI
-Gemini 2.0 Flash-Lite, an efficient, cost-effective model now in public preview
Dive in ↓
Gemma and the power of post-training. 💪
@GoogleDeepMind’s Léonard Hussenot details:
🔍 How Gemma facilitates post-training research
🚀 Best-of-N Distillation (BOND) for model efficiency
🏆 Improving reward models with weight averaging
👀 → goo.gle/3Eg5jIl
🔓Unlock the power of multimodal AI with PaliGemma and Keras!
Keras software engineer Varun Singh gave an inside look at how PaliGemma works to solve language and computer vision tasks and how to leverage Keras for streamlined development.
Watch → goo.gle/40I4WiK
We’re blown away by the thousands of creative submissions to The Gemini API Developer Competition! 🤩
We’ve announced the winners, now let’s take a look at other inspiring competition projects 👀 → goo.gle/3CabRHW