Deploying Baidu Wenxin 4.5 Open-Source Large Model on AiStudio for Android Call
In the previous article "Deploying theERNIE 4.5 Open-Source Model for Android Device Calls", the blogger introduced how to deploy the ERNIE 4.5 open-source large language model on one's own server. However, for students without GPU servers, this approach is out of reach. Therefore, this article will introduce how to leverage the computing power on AiStudio for free to deploy the ERNIE 4.5 open-source large model for personal use.
Read MoreDeploying Baidu Wenxin 4.5 Open-Source Model for Android Device Calls
In the previous article "Usage and Deployment of the ERNIE 4.5 Open-Source Large Model", we introduced how to use FastDeploy to deploy the ERNIE 4.5 open-source large model and briefly called its interface. This article will describe how Android can call this deployed interface and implement conversations.
Read MoreUsage and Deployment of ERNIE 4.5 Open-Source Large Model
The ERNIE 4.5 series open-source models consist of a total of 10 models, covering Mixture-of-Experts (MoE) models with activation parameter scales of 47B and 3B (with the largest model having a total parameter count of 424B), as well as dense parameter models with 0.3B parameters. Below, we will introduce how to quickly use ERNIE 4.5 models for inference and deploy the interface for client-side calls on platforms such as Android and WeChat Mini Programs. Note that only text-type models are accepted here; in reality, ERNIE 4.5 also has multimodal models.
Read MoreDeploying Custom Gesture Recognition Models with MediaPipe on Android
This project implements a high-performance real-time gesture recognition Android application based on the Google MediaPipe and Android CameraX technology stacks. It adopts MediaPipe's latest Gesture Recognition API, supporting the recognition of various gesture types, including common gestures such as thumb-up, victory sign, and open palm. Additionally, it features real-time hand key point detection and drawing functionality.
Read MoreCustom Gesture Recognition Training Model with MediaPipe
MediaPipe is an open-source framework developed by Google for building perception pipelines to process time-series data such as video and audio. Among its components, MediaPipe Hands is a high-performance hand key-point detection solution capable of real-time hand key-point detection on mobile devices.
Read MoreA Tool Website Developed with Python
This article introduces a feature-rich tool website developed using Python. It includes various tools such as document tools, PDF tools, image tools, audio tools, video tools, voice tools, and programming tools, which are commonly used in work or study.
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