Unlock the secrets of bringing cutting-edge generative AI directly to your users' devices. We'll share how to seamlessly deploy popular gen AI models using the intuitive MediaPipe Tasks API. Plus, you'll discover how to customize and port your own gen AI creations specifically for edge devices using a powerful Python authoring API. Finally, learn how the new PyTorch to TensorFlow Lite converter can open a world of possibilities for on-device ML powered by PyTorch models.
AI Edge Model Explorer in Colab → [ Ссылка ]
Model Explorer → [ Ссылка ]
Google AI Edge → [ Ссылка ]
LLM Inference → [ Ссылка ]
AI models optimized and validated by Qualcomm Technologies → [ Ссылка ]
Convert PyTorch models to TF Lite → [ Ссылка ]
Convert generative PyTorch models → [ Ссылка ]
Speakers: Aaron Karp, Cormac Brick, Sachin Kotwani
Watch more:
Check out all the AI videos at Google I/O 2024 → [ Ссылка ]
Check out all the Mobile videos at Google I/O 2024 → [ Ссылка ]
Subscribe to Google Developers → [ Ссылка ]
#GoogleIO
Event: Google I/O 2024
Products Mentioned: MediaPipe, Google AI Edge, Google AI
