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The Qualcomm AI Hub is a comprehensive platform offering access to fully optimized and ready-to-deploy AI models. These models are validated by Qualcomm and specifically optimized to leverage Qualcomms AI Engine which supports CPU, GPU, and NPU acceleration. Users can explore a range of AI models for various applications such as high-resolution image in-painting, real-time object detection, image noise reduction, human body pose estimation, speech denoising and more. The models can be utilized on-device, and are compatible with a wide range of platforms and devices, including various models of the Snapdragon mobile platform, as well as numerous Samsung and Xiaomi devices. Deployment support extends to Android devices, utilizing TensorFlow Lite or Qualcomm AI Engine Direct. The hub also provides a wide range of models like Segment-Anything-Model, Stable-Diffusion, Whisper-Base, TrOCR, MediaPipe-Face-Detection, and more. Each model serves a unique purpose, from generating high-quality segmentation masks or detailed images based on text prompts to offering automatic speech recognition, optical character recognition, and face detection among other functionalities.
Language modeling generates code for reasoning.
ML model trained & deployed.
Generated English responses for conversation prompts.
Deep learning for edge/cloud optimization and speed.
Trained models for natural language processing.
Language models for processing natural language.
Privacy-centric model hosting and deployment.
Integrate all LLMs and beat any model on quality and cost
Unleash AI-powered browsing with Copilot in Microsoft Edge
Frontier AI in your hands
Language model for reasoning & tests
Streamlined language model setup & utilization
Health language model, pre-trained for compassion.
Chat with the world's most responsible AI model.
Bringing Powerful LLM Assistants to Edge Devices
Build, deploy, and manage AI applications with ease.
Generate language in long contexts.
On-demand models for tasks and scenarios.
Extracted insights from varied texts.
Empowering teams to develop and evaluate LLM applications.
Creative ideas and summaries generated.
Automate model building, training, and deployment.
LLM engine streamlines software development.
Gemini: Google’s most capable and general AI model
Knowledge to ML models
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