✨ Learn how to build and deploy custom generative models on the edge by using the early developer preview of the AI Edge Torch Generative API. Start with building a PyTorch model optimized for edge devices, and deploy with MediaPipe LLM Inference API. ➡️ https://goo.gle/4dH39Pk
Impressive development in AI technology! Your dedication to providing valuable resources for developers is commendable. Keep up the great work!
Impressive AI development!! 💡
Bro i am college first student And I like to place in Google company And I study full stack python is good or not Also how to place in MNC company
Great to see the innovation in leveraging AI Edge Torch Generative API for building custom models on edge devices! Excited to explore the possibilities with this early developer preview.
Hay
Software Engineer - Machine Learning @ LTIMindtree | Google Developer Expert in Machine Learning
2wHere's something I've built: MobileLlama3: Run Llama3 locally on mobile. Now, you can run language models as large as 8 billion parameters on your mobile device, all offline. Read the Medium blog for step-by-step implementation: https://tiwarinitin1999.medium.com/ml-story-mobilellama3-run-llama3-locally-on-mobile-36182fed3889