🚀 Xiaomi Launches AI Interaction Test Product Xiaomi Miclaw
#Xiaomi #AI #MiMo #XiaomiMiclaw #AIInteraction #TechProduct #ClosedTest #SmartphoneAI #TechEnthusiasts #AIExploration #Innovation
Xiaomi has announced the launch of Xiaomi Miclaw, an AI interaction test product based on the MiMo large model. According to PANews, this marks a small step in Xiaomi's exploration of AI agents. The product is currently undergoing a limited closed test starting today.
Xiaomi Miclaw is designed to transform smartphones into AI tools, capable of understanding user intentions and executing commands by calling third-party applications and system-level tools. It can also grow and adapt, refining its behavior and expanding its capabilities over time. The product aims to improve its understanding of users through a memory system that accumulates experiences.
As an exploratory product, Xiaomi Miclaw is still being optimized for stability, power consumption, and execution success rates in complex scenarios. Users may experience fluctuations in execution efficiency or occasional failures with highly complex tasks.
The closed test is invitation-only, and Xiaomi advises against upgrading on primary devices. Tech enthusiasts and heavy AI users are encouraged to back up data and test the product in controlled environments. Users granted access to the closed test will receive a specific system version update required to use Xiaomi Miclaw. The test is limited to certain models, including the Xiaomi 17 Ultra Leica Edition, Xiaomi 17 Ultra, Xiaomi 17 Pro Max, Xiaomi 17 Pro, and Xiaomi 17.#Xiaomi #AI #MiMo #XiaomiMiclaw #AIInteraction #TechProduct #ClosedTest #SmartphoneAI #TechEnthusiasts #AIExploration #Innovation
🚀 Tether AI Team Unveils Enhanced QVAC Fabric with Cross-Platform Capabilities
#TetherAI #QVACFabric #BitNetLoRA #AI #LLM #CrossPlatform #GPU #MobileAI #OpenSource #MachineLearning #DeepLearning #AIInnovation #AIModels #SmartphoneAI #TechNews
Tether CEO Paolo Ardoino has announced the release of a new version of QVAC Fabric by the Tether AI team. According to ChainCatcher, this update integrates the BitNet LoRA framework, enabling the training and inference of large models with billions of parameters on consumer-grade GPUs and smartphones.
The updated QVAC Fabric LLM marks the first instance of BitNet LoRA fine-tuning and inference running cross-platform on AMD, Intel, Apple Metal, and mobile GPUs. On flagship devices, GPU inference speed has increased by 2 to 11 times compared to CPUs, while memory usage has been reduced by up to 90% compared to full-precision models. The Tether team has successfully fine-tuned models with up to 3.8 billion parameters on flagship smartphones such as Pixel 9, S25, and iPhone 16, and achieved fine-tuning of models with up to 13 billion parameters on the iPhone 16. The related code has been made open-source on GitHub.#TetherAI #QVACFabric #BitNetLoRA #AI #LLM #CrossPlatform #GPU #MobileAI #OpenSource #MachineLearning #DeepLearning #AIInnovation #AIModels #SmartphoneAI #TechNews