The official TensorFlow LinkedIn account from Google. Whether you're an expert or a beginner, TensorFlow is an end-to-end platform that makes it easy for you to build and deploy ML models.
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TensorFlow reposted this
✨🏆 It’s time to explore the winning apps of the Gemini API Developer Competition → https://goo.gle/4fY3Yn0 These transformative apps and solutions were created by developers worldwide by using the powerful capabilities of the Gemini API.
TensorFlow reposted this
🔥 Ready to see the winners of the Gemini API Developer Competition? So is Christopher Lloyd! → https://goo.gle/3CA0FEu Logan Kilpatrick and Jaclyn Konzelmann just dropped him a *very* important competition update. Check out the winning AI-powered apps now!
TensorFlow reposted this
See how OpusClip used Gemini 1.5 Flash to get 30% cost savings in video description processing 🎥 → https://goo.gle/40XsuAD By leveraging the model’s visual, audio, and textual data understanding, OpusClip enables creators and businesses to harness AI-powered video editing tools.
TensorFlow reposted this
Learn to use Flutter Dev at the Women in AI Summit on December 3rd! Google Developer Relations Engineer, Khanh Nguyen, will cover how to quickly build and validate applications with Flutter. You’ll prototype a generative AI solution and then build an app that leverages Vertex AI in Firebase. Don’t miss it! Register today → https://goo.gle/3CwYK3i
📚✨ Looking for resources to help you build and deploy ML models? Check out the new MLSysbook.ai, an open source “textbook” bridging ML models and system-level thinking. This resource will map systems engineering concepts to the TensorFlow ecosystem such as: TensorFlow Data ➡️ Data engineering TensorFlow Core ➡️ Model development TensorFlow Lite ➡️ Optimization And so much more! Get started → https://goo.gle/4eFKrHd
TensorFlow reposted this
⚡ The power of AI in your hands! Shrestha Basu Mallick walks developers through the knowledge and resources to get started at the Women in AI Summit on December 3rd ⬇️
Join me at the Women in AI Summit 2024 to explore the power of Gemini APIs and Google AI Studio! We'll cover how you can start building with all the latest models and features like long context, search grounding, fine-tuning etc https://goo.gle/3Oi0ksB
TensorFlow reposted this
Take a deep dive into Gemma 2 post-training with Robert Dadashi during #GemmaDeveloperDay Tokyo 🇯🇵 → https://goo.gle/3UZfuqt In this session, explore how to align a model with human preferences through: ⚫ Supervised fine-tuning ⚫ Reinforcement learning from human feedback ⚫ Prompt instructed reward models ▶️ Tune in and learn how to adapt this powerful model for non-English languages.
TensorFlow reposted this
🌎 Discover how AI can help solve humanity’s great challenges at the Women in AI Summit 2024! → https://goo.gle/4fQkipW Google DeepMind’s Kathleen Kenealy shares how Gemma’s family of open models empowers developers to build the future, regardless of hardware limitations or location. Click the link above to register and see the full agenda and speakers.
TensorFlow reposted this
🤖 Discover how Sublayer, a Ruby based AI agent framework, demonstrates the power and efficiency of the Gemini API by integrating our 1.5 models into their developer product and within their own tooling workflows. Read the blog to learn more. → https://goo.gle/4fmflFA
TensorFlow reposted this
Tune in to hear a panel of experts discuss responsible AI at DevFest Silicon Valley on this episode of People of AI 📣 → https://goo.gle/4ft4ERD Host Ashley Oldacre is joined by: 🔸Jigyasa Grover, Lead, AI and Research at Bordo AI 🔸Deepa S., Google Developer Expert 🔸Daniel Goncharov, AI Research Engineer, Stanford University School of Medicine 🔸Vikram Tiwari, Lead ML Engineer, Assembled They share why it’s crucial to prioritize social responsibility, transparency, data privacy, and user awareness.