Quasi - 一种使用 AI 生成独特和个性化图像的工具 Re.Art AI Image Generator - 一种使用人工智能和机器学习生成独特创意图像的工具 Removal.ai - 使用 AI 从图像中删除背景的工具 Remove.bg - 使用 AI 从图像中删除背景的工具 Renderflux - 使用 AI 生成 3D 模型和动画的平台 Roll Art Die - 一种使用 AI...
to annotate certain aspects of the AI-generated output. For instance, you can provide GPT-4 with a relevance severity scale (for example, provide criteria for relevance annotation on a 1-5 scale) and then ask GPT-4 to annotate the relevance of an AI system’s response to a given ...
has several important advantages, including (1) TransVW is a fully autodidactic scheme, which exploits the semantics of visual words forself-supervised learning, requiring no expert annotation; (2) visual word learning is an add-on strategy, which complements existing self-supervised methods, boosti...
EdrawMind AI Mind Map Generator is a powerful tool that can help you structure your thoughts in a clear and coherent way. Whether you are working on your own project or collaborating with your team, it is here to help. More functions of EdrawMind AI (AII in one) ...
Evaluate annotation type *bbox* DONE (t=0.03s). Accumulating evaluation results... DONE (t=0.01s). 模型部署准备 Paddle-Lite简介 Paddle Lite为Paddle-Mobile的升级版,定位支持包括手机移动端在内更多场景的轻量化高效预测,支持更广泛的硬件和平台,是一个高性能、轻量级的深度学习预测引擎。在保持和...
enableTableFieldAnnotation开启生成实体时生成字段注解默认值:false enableActiveRecord开启 ActiveRecord 模型默认值:false enableFileOverride覆盖已有文件默认值:false versionColumnName(String)乐观锁字段名(数据库) versionPropertyName(String)乐观锁属性名(实体) ...
Run the npm generator: npx chatito trainClimateBot.chatito The generated dataset should be available next to your definition file. Here is the full npm generator options: npx chatito <pathToFileOrDirectory> --format=<format> --formatOptions=<formatOptions> --outputPath= --trainingFileName=<trai...
// ChatBotController.javapackagecom.example.controller;importcom.example.model.UserQuery;importcom.example.service.IntentRecognitionService;importcom.example.service.ResponseGeneratorService;importorg.springframework.beans.factory.annotation.Autowired;importorg.springframework.web.bind.annotation.*;@RestController@Req...
In this paper, we examine how large language models (LLMs) solve multi-step problems under a language agent framework with three components: a generator, a discriminator, and a planning method. We investigate the practical utility of two advanced planning methods, iterative correction and tree sea...
annotation and does not require human intervention. The generator for domain adaptation is pretrained by using virtual bronchoscopic images and unpaired historical bronchoscopy videos, which are easy to access at hospitals, enabling an annotation-free training stage. With the aid of our AI co-pilot ...