The goal of the MindSpore MindFormers kit is to build a full-process development kit for large model training, reasoning, and deployment: it provides the industry’s mainstream Transformer-type pre-training model and SOTA downstream task applications, covering a wealth of parallel features. It is expected to help users easily realize large model training and innovative research and […]
MindFace is an open source toolkit based on MindSpore, including the most advanced face recognition and detection models, such as ArcFace, RetinaFace and other models, mainly used in common application scenarios such as face recognition and detection. MindFace mainly has the following advantages: Unified application programming interface MindFace provides a unified application programming interface for
Face recognition and detection model toolkit MindFace Read More »
Evals is a framework for evaluating OpenAI models and an open source benchmark registry, you can use Evals to create and run evaluations: Use datasets to generate hints Measuring the quality of completion provided by OpenAI models Compare the performance of different datasets and models The goal of Evals is to make building an evaluation
Full name of Yolov8 Ultralytics YOLOv8,Depend onUltralyticsDeveloped, is a cutting-edge, state-of-the-art (SOTA) model that builds on the success of previous YOLO versions and introduces new features and improvements that further improve performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for all kinds of classification
Summary:In order to evaluate the generalization ability of the model, that is, to judge whether the model is good or bad, we need to use a certain index to measure it. With the evaluation index, we can compare the pros and cons of different models, and use this index to further optimize the model. This
ModelScopeBuilt on the concept of Models as a Service (MaaS). It aims to bring together state-of-the-art machine learning models from the AI community and simplify the process of leveraging AI models in real-world applications. The open source core ModelScope library in this repository provides interfaces and implementations that allow developers to perform model inference, training,
Google Research announced MusicLM, a model for generating high-fidelity music from textual descriptions. MusicLM treats the generative process of music as a hierarchical sequence-to-sequence modeling task and generates music at a frequency of 24 kHz. No matter the text description is a paragraph, a story, or just a word, MusicLM can generate the corresponding music,
Recently, Oracle announced a price list called “Oracle Java SE Universal Subscription Global Price List”, which sets a new charging standard for Java SE. The most noteworthy thing about this price list is that Oracle will be based on the company’stotal number of employeesto charge the corresponding fee instead ofNumber of employees using Java. This
Summary:RocketMQ’s excellent performance cannot be avoided without its excellent storage model. This article is shared from Huawei Cloud Community “Finally Figured Out the Storage Model of RocketMQ”, author: Brother Yong java actual combat sharing. RocketMQ’s excellent performance cannot be avoided without its excellent storage model. 1 Overall overview First review the RocketMQ architecture. There are
Since the beginning of 2021, the field of AI has launched a large number of text-to-image-based models (such as DALL-E-2, Stable Diffusion, and Midjourney, etc.). Recently, Google also released a text-based image generation model called “Muse”, claiming to achieve the most advanced image generation performance. The images below are all text-based images generated by Muse
Google’s new text-to-image model “Muse” claims best-in-class performance Read More »
Author: JD Retail Shi Chaoyang Before talking about the IO multiplexing model, let’s have a general understanding of the Linux file system. In the Linux system, whether it is your mouse, keyboard, or printer, or even the socket client connected to the local machine, they all exist in the system in the form of file
BigCode is an open scientific collaboration dedicated to the development of large language models. Recently, they open sourced a language model called SantaCoder, which has 1.1 billion parameters and can be used for code generation and completion suggestions in several programming languages such as Python, Java, and JavaScript. According to the official information, the basis
Summary:In this article, we will combine the case program to illustrate the Happens-Before principle in the Java memory model. This article is shared from Huawei Cloud Community “[High Concurrency]Understand the Happens-Before Principle in Seconds”, author: Binghe. Before formally introducing the Happens-Before principle, let’s look at a piece of code. 【Example 1】 class VolatileExample { int
Interpretation of the 8 Happens-Before Principles in the Java Memory Model Read More »
The second development milestone release of Akka 2.8.0 is now available. Akka is a library written in Scala that simplifies writing fault-tolerant, highly scalable Actor model applications in Java and Scala. Notable changes in 2.6.0-M2 include: chore: adjust commit message suggestion #31755 update sbt-java-formatter to 0.8.0 #31742 ci: go back to older version of setup-gcloud
Akka 2.8.0-M2 released, Actor model development library written in Scala Read More »
