大模型api中转站

The Notifications API lets a web page or app send notifications that are displayed outside the page at the system level; this lets web apps send information to a user even if the application is idle or in the background. This article looks at the basics of using this API in your own apps.

11月3日，2022云栖大会杭州现场，阿里达摩院联手CCF开源发展委员会共同推出AI模型社区“魔搭”ModelScope，旨在降低AI的应用门槛。是国内首个通用的模型交流平台，系统化的模型分享渠道，方便不同模型的查找、比较、交流分享。 AI应用困难的主要原因是开发门槛高，模型开发需要大量数据以及匹配

The WebTransport API provides a modern update to WebSockets, transmitting data between client and server using HTTP/3 Transport. WebTransport provides support for multiple streams, unidirectional streams, and out-of-order delivery. It enables reliable transport via streams and unreliable transport via UDP-like datagrams.

科技云报道原创。 自从OpenAI于2022年11月推出ChatGPT后，一场波及全球科技界的“AI海啸”就此爆发。 自今年以来，国内已有超过30家企业入局大模型赛道。从百度“文心一言”、阿里“通义千问”的发布，到网易“玉言”、科大讯飞“星火”、昆仑万维“天工”等的推出，再到腾讯“混元”、京东“Ch

The Background Synchronization API enables a web app to defer tasks so that they can be run in a service worker once the user has a stable network connection.

前端和后端开发同时被 3 个专栏收录 119 篇文章144 订阅¥19.90¥99.00 订阅专栏 大数据 504 篇文章436 订阅¥49.90¥99.00 订阅专栏 大数据平台二次开发 103 篇文章137 订阅¥19.90¥99.00 订阅专栏 fastAPI响应模型：response_mod

Web Video Text Tracks (WebVTT) are text tracks providing specific text "cues" that are time-aligned with other media, such as video or audio tracks. The WebVTT API provides functionality to define and manipulate these text tracks. The WebVTT API is primarily used for displaying subtitles or captions that overlay with video content, but it has other uses: providing chapter information for easier navigation and generic metadata that needs to be time-aligned with audio or video content.

机器之心 翻译 2021/10/13 14:36 Geek AI编辑 在将大模型应用于工业生产这条路上，Hugging Face 又走在了前列。 特斯拉、谷歌、微软、Facebook 等科技巨头有很多共同点，其中之一是：它们每天都会运行数十亿次 Transformer 模型预测。比如，Transfo

The Media Capabilities API allows developers to determine decoding and encoding abilities of the device, exposing information such as whether media is supported and whether playback should be smooth and power efficient.

随着近期ChatGPT的迅速出圈，加速了的大模型时代变革。以Transformer、MOE结构为代表的大模型，传统的单机单卡训练模式肯定不能满足上千亿参数的模型训练，这时候我们就需要解决内存墙和通信墙等一系列问题，在单机多卡或者多机多卡进行模型训练。 刚好最近一段时间，我也在探索大模型相关的一些技术