TensorFlow

@TensorFlow

TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.

114 Following375K Followers2.8K Posts
  1. TensorFlow@TensorFlow
    Do you follow us on LinkedIn? 📚 Gain access to educational resources to master TensorFlow 💻 Learn framework concepts and components ...and more! Check it out →
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  2. TensorFlow@TensorFlow
    Congrats Keras on 10-years! Explore the newly designed Keras website full of resources for developers like Jupyter notebook guides, API docs, and more. →
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  3. TensorFlow@TensorFlow
    TensorFlow 2.19 is released! Explore significant performance enhancements, including bfloat16 support, alongside improved C++ API updates. Read the full release notes for details →
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  4. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 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 →
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  5. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 📈 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 →
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  6. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 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 →
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  7. TensorFlow@TensorFlow
    TensorFlow
    RT @googleaidevs: 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. →
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  8. TensorFlow@TensorFlow
    TensorFlow
    RT @googleaidevs: 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. →
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  9. TensorFlow@TensorFlow
    TensorFlow
    RT @googleaidevs: 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 ↓
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  10. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 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 👀 →
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  11. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 🔓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 →
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  12. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 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 👀 →
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  13. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 🌐 💬 Build a more connected world with Gemma 2 by creating an AI model in your own language. Grow the #Gemmaverse and compete for $150,000 in prizes in our @Kaggle competition. Submit entries by January 14 ⏰️ →
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  14. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 🛠️ Building with AI? We want to feature the projects you’re developing with Google’s AI tools in this community spotlight contest. Learn more →
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  15. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: Ready to explore your Gemma skills? Join @Kaggle’s Global Communication with Gemma competition for the chance to win $30,000! Entering is straightforward – just follow these steps. Learn more about the competition here:
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  16. TensorFlow@TensorFlow
    🔍 Introducing Wake Vision, a new dataset accelerating research & development in TinyML. Wake Vision, roughly 100x larger, provides two training sets: ♦️ Large prioritizes dataset size ♦️ Quality prioritizes label quality Learn more →
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  17. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: Introducing PaliGemma 2, the tunable vision-language model that brings the power of sight to Gemma 2 👁🗣 →
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  18. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 🙏 Thanks for joining us and our speakers for an inspiring Women in AI Summit 2024! We learned: 🔹 The power of 2 million token long context windows 🔹 Flexibility of Google AI Studio, @Flutterdev, @Kaggle, and Gemini Nano 🔹 Building AI responsibly 🔹 And more!
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  19. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 🚨🎉 The Women in AI Summit 2024 is LIVE! Join us for exciting sessions covering: 🤖 Gemini API and Google AI Studio 🧰 Gemma, @Kaggle, @FlutterDev ⚡️Career and industry impacts …and more! Tune in and connect in the real-time live chat →
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  20. TensorFlow@TensorFlow
    TensorFlow
    RT @googledevs: 🌞⏳️ The Women in AI Summit 2024 is only a day away! Uncover four crucial skills to AI success with @jocarrasqueira & integrate them into your career. Be inspired by leaders in the industry & get the tools to uplevel your AI knowledge. Register →
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